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  • Articles  (3,155)
  • Institute of Electrical and Electronics Engineers (IEEE)
  • Mechanical Engineering, Materials Science, Production Engineering, Mining and Metallurgy, Traffic Engineering, Precision Mechanics  (2,551)
  • Natural Sciences in General  (604)
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  • 1
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    Institute of Electrical and Electronics Engineers (IEEE)
    Publication Date: 2015-08-22
    Description: Prospective authors are requested to submit new, unpublished manuscripts for inclusion in the upcoming event described in this call for papers.
    Print ISSN: 1521-9615
    Electronic ISSN: 1558-366X
    Topics: Computer Science , Natural Sciences in General , Technology
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  • 2
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    Institute of Electrical and Electronics Engineers (IEEE)
    Publication Date: 2015-08-22
    Description: Kalyani Nair reviews "Multiscale Modeling in Biomechanics and Mechanobiology", edited by S. De, W. Hwang, and E. Kuhl, declaring it useful for anyone looking to get a quick overview of the field over a broad spectrum of areas.
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  • 3
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    Institute of Electrical and Electronics Engineers (IEEE)
    Publication Date: 2015-09-29
    Description: This paper considers the problem of emitter location in the presence of an adversary able to inject false information, where both the viewpoints of the adversary and locating network are considered. We begin by developing adversary strategies, which focus on degrading and redirecting the locating network. The locating network uses the time difference of arrival (TDOA) method and estimates the emitter location using both nonlinear least squares (LS) and the robust least median squares (LMS). Specifically, we determine the false sensor position the adversary should inject that maximally impacts the locating network by 1) minimizing the network???s accuracy, and 2) redirecting the network???s emitter location estimate. Similarly, we formulate a network???s strategy for detecting the adversary???s injection and develop a detector able to determine its presence under both adversary strategies. We present both theoretical and numerical results illustrating the effectiveness of the developed strategies.
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  • 4
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    Institute of Electrical and Electronics Engineers (IEEE)
    Publication Date: 2015-09-29
    Description: Delay/disruption tolerant networking (DTN) offers a solution to communications in ???challenged??? networks. Some work has been seen in evaluating the performance of DTN protocols based on simulated or emulated file transfer experiments. However, there is a need for a model of the performance of the DTN Licklider transmission protocol (LTP), which particularly targets reliable data transmission in deep space. In this paper, we present a performance model of LTP-based DTN data transmission in challenging communications characterized by extremely long signal propagation delay, lengthy link disruptions, and highly lossy channels that are typical of deep-space links. The model is verified by file-transfer experiments using a PC-based testbed.
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  • 5
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    Institute of Electrical and Electronics Engineers (IEEE)
    Publication Date: 2015-09-29
    Description: Modeling of the dynamics and disturbances and designing of the precise formation controller are two major problems for the inner-formation flying system (IFFS). This paper introduces a nonlinear, nonautonomous formation dynamics model for IFFS in a general elliptic orbit. This model integrates the newly developed formation dynamics and the detailed disturbance models, including atmospheric drag, solar radiation pressure, and J2 effects. Furthermore, this paper establishes a coupled self-gravitational attraction model for IFFS. After considering such a comprehensive dynamics model, the precise formation control problem of IFFS is researched in detail. By referring to the averaging system, Hurwitz matrix, Lyapunov stability theorem, Matrosov???s theory, and Barbalat???s lemma as preliminaries, four possible controllers are designed, i.e., feedback-linearization plus proportional-derivative (PD) controller, Lyapunov-based controller, virtual potential-based controller, and velocity-free virtual potential-based controller. These controllers are all analyzed by the corresponding stability theories. Some simulations are carried out to testify these controllers, and the results show the effectiveness. By comparing the convergence time and fuel consumption, the velocity-free virtual potential-based controller is proven to be a more advantageous controller.
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  • 6
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    Institute of Electrical and Electronics Engineers (IEEE)
    Publication Date: 2015-09-29
    Description: The fuel-optimal control problem of soft landing becomes a significant challenge due to the highly irregular gravitational field of an asteroid. An indirect method is used to deal with this fuel-optimal control problem. The difficult bang-bang control problem caused by the indirect method is solved through an improved fast homotopic approach. To validate the advanced homotopic method, the landing site is selected in a region where the gravitational field is especially irregular. The results show that this method is effective for the fuel-optimal control problem in an irregular gravitational field. Moreover, the trajectory designed with the fuel-optimal control is taken as a nominal descent trajectory for a sliding mode control. Monte Carlo simulations show that the desired soft landing can be achieved by tracking the fuel-optimal trajectory.
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  • 7
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    Institute of Electrical and Electronics Engineers (IEEE)
    Publication Date: 2015-09-29
    Description: In this paper, a novel framework of sparse kernel learning for support vector data description (SVDD) based anomaly detection is presented. By introducing 0-1 control variables to original features in the input space, sparse feature selection for anomaly detection is modeled as a mixed integer programming problem. Due to the prohibitively high computational complexity, it is relaxed into a quadratically constrained linear programming (QCLP) problem. The QCLP problem can then be practically solved by using an iterative optimization method, in which multiple subsets of features are iteratively found as opposed to a single subset. However, when a nonlinear kernel such as Gaussian radial basis function kernel, associated with an infinite-dimensional reproducing kernel Hilbert space (RKHS) is used in the QCLP-based iterative optimization, it is impractical to find optimal subsets of features due to a large number of possible combinations of the original features. To tackle this issue, a feature map called the empirical kernel map, which maps data points in the input space into a finite space called the empirical kernel feature space (EKFS), is used in the proposed work. The QCLP-based iterative optimization problem is solved in the EKFS instead of in the input space or the RKHS. This is possible because the geometrical properties of the EKFS and the corresponding RKHS remain the same. Now, an explicit nonlinear exploitation of the data in a finite EKFS is achievable, which results in optimal feature ranking. Comprehensive experimental results on three hyperspectral images and several machine learning datasets show that our proposed method can provide improved performance over the current state-of-the-art techniques.
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  • 8
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    Institute of Electrical and Electronics Engineers (IEEE)
    Publication Date: 2015-09-29
    Description: This paper deals with the swath acquisition planning problem for multisatellite Earth observation missions. Given a set of satellites and a mission time frame, the problem we solve consists of selecting a set of acquisitions from the satellites in order to cover a given region of interest during the requested time frame, optimizing a certain objective function.We show that the planning problem can be modeled as a set covering problem, using basic tools of mathematical programming. The formulation of the model requires the solution of a complex computational geometry problem, and therefore the use of heuristics and metaheuristics applies. In this paper, we discuss the efficiency of the constructive phase of a greedy randomized adaptive search procedure algorithm. Computational results comparing the heuristic algorithms with the exact approach are presented.
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  • 9
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    Institute of Electrical and Electronics Engineers (IEEE)
    Publication Date: 2015-09-29
    Description: This paper proposes an efficient method to classify inverse synthetic aperture radar (ISAR) images. The proposed method achieves invariance to translation and rotation of ISAR images by using two-dimensional (2D) Fourier transform (FT) of ISAR images, polar mapping of the 2D FT image, and a simple nearest-neighbor classifier. In simulations using ISAR images measured in a compact range, the proposed method yielded high classification ratios with small-sized data regardless of the location of the rotation center, whereas the existing method was very sensitive to the location of it.
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  • 10
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    Institute of Electrical and Electronics Engineers (IEEE)
    Publication Date: 2015-09-29
    Description: A method for fusing synthetic aperture radar (SAR) images with optical aerial images is presented. This is done in a navigation framework, in which the absolute position and orientation of the flying platform, as computed from the inertial navigation system, is corrected based on the aerial image coordinates taken as ground truth. The method is suitable for new low-price SAR systems for small unmanned vehicles. The primary application is surveillance, and to some extent it can be applied to remote sensing, where the SAR image provides complementary information by revealing reflectivity to microwave frequencies. The method is based on first applying an edge detection algorithm to the images and then optimising the most important navigation states by matching the two binary images. To get a measure of the estimation uncertainty, we embed the optimisation in a least squares framework, in which an explicit method to estimate the (relative) size of the errors is presented. The performance is demonstrated on real SAR and aerial images, leading to an error of only a few pixels (around 4 m in our case), which is a quite satisfactory performance for applications like surveillance and navigation.
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  • 11
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    Institute of Electrical and Electronics Engineers (IEEE)
    Publication Date: 2015-09-29
    Description: This paper presents a sensor-control method for choosing the best next state of the sensors that provide accurate estimation results in a multitarget tracking application. The proposed solution is formulated for a multi-Bernoulli filter and works via minimization of a new estimation-error-based cost function. Simulation results demonstrate that the proposed method can outperform the state-of-the-art methods in terms of computation time and robustness to clutter while delivering similar accuracy.
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  • 12
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    Institute of Electrical and Electronics Engineers (IEEE)
    Publication Date: 2015-09-29
    Description: The Kalman filter has always been applied to enhance the estimation of inertial measurement unit errors and to improve estimation accuracy of navigation states under practical conditions. Therefore, understanding the behaviors and limitations of optimal estimation of the navigation states is instructive and of great importance. In order to provide comprehensive information about the observability and convergence rapidity of the navigation states when implementing a Kalman filter, the basic properties of intuitive linear-algebraic characterizations of stochastic observability will be intensively investigated in this study. We have extended the utilization of the analytic stochastic observability approach for analytic optimization of strapdown inertial navigation systems multiposition stationary alignment. The advantage of analytic explicit formulation of convergence rapidity of the implemented Kalman filter by stochastic observability approach is demonstrated. Compared to numerical simulation methods, the proposed stochastic observability approach can provide analysts with much more analytic information.
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  • 13
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    Institute of Electrical and Electronics Engineers (IEEE)
    Publication Date: 2015-09-29
    Description: Localization of persons that are hidden behind a corner is important in various security situations when the first responders should not be exposed to any threat. This article demonstrates the feasibility of an ultrawideband multipath-exploitation radar for localization in such scenarios. The approach utilizes multibounce echoes of electromagnetic waves that are scattered by the closest person situated behind a corner. We assume that the person does not carry any tag and does not cooperate with the localization system. The multibounce echoes are reflected and diffracted by the surroundings and make the hidden person visible to an operator that is behind the corner. The location estimation relies only on single-channel time-of-arrival data. Measured data are first processed by a background subtraction algorithm, which reveals the multipath evoked by the person. The multipath echoes are detected by a parallel threshold-based detector. A simple global nearest-neighbor algorithm is used for tracking detected echoes and improving their range estimates. The obtained range estimates are assigned to different physical propagation paths of the electromagnetic waves. The location of the person is estimated by fusing the information of the antenna location with respect to its surroundings and the assigned range estimates. The proposed approach is experimentally verified in a scenario where data are measured in real time by an ultrawideband sensor. Experimental results demonstrate that, depending on the scenario geometry, a walking or calmly standing person can be localized up to several meters behind the corner.
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  • 14
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    Institute of Electrical and Electronics Engineers (IEEE)
    Publication Date: 2015-09-29
    Description: Inverse synthetic aperture radar (ISAR) images can be obtained using digital video broadcasting???terrestrial (DVB-T)???based passive radars. However, television broadcast???transmitted signals offer poor range resolution for imaging purposes, because they have a narrower bandwidth with respect to those transmitted by a dedicated ISAR system. To reach finer range resolutions, signals composed of multiple DVB-T channels are required. Problems arise, however, because DVB-T channels are typically widely separated in the frequency domain. The gaps between channels produce high grating lobes in the image domain when Fourier-based algorithms are used to form the ISAR image. In this paper, compressive sensing theory is investigated to address this problem because of its ability to reconstruct sparse signals by using incomplete measures. By solving an optimization problem under the constraint of signal sparsity, passive ISAR images can be obtained with strongly reduced grating lobes. Both simulation and experimental results are shown to demonstrate the validity of the proposed approach.
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  • 15
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    Institute of Electrical and Electronics Engineers (IEEE)
    Publication Date: 2015-09-29
    Description: Mechanically steered scanning radars receive measurements continuously while sweeping the surveillance region. However, most target tracking algorithms, like the multiple hypothesis tracker (MHT) and the joint probabilistic data association (JPDA) techniques, wait for the end of a scan in order to process the measurements and to estimate targets states. This is due to the fundamental assumption of one-to-one association between tracks and measurements and the 360° physical limit of a scan. Associating measurements to initialized tracks and filtering at the end of a complete scan may cause significant delays in target state update. In addition, association may become imperfect due to longer intervals between updates. This issue becomes significant when tracking high-speed targets with low scan rate sensors as in the airborne early warning (AEW) system. In this paper, we present a new dynamic sector processing algorithm using two-dimensional (2-D) assignment for scanning radars that report measurements within the duration of a scan. The full scan is dynamically and adaptively divided into sectors, which could be as small as a single detection, depending on the scanning rate, sparsity of targets, and required target state update speed. Measurement-to-track association, filtering, and target state update are done dynamically while sweeping from one region to another, i.e., continuous track update, limited only by the intermeasurement interval, becomes possible. The proposed algorithm offers low latency while maintaining estimation accuracy in track updates as well as efficient utilization of computational resources compared with standard frame-based tracking algorithms. Experimental results based on rotating radars demonstrate the advantages of the proposed technique.
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  • 16
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    Institute of Electrical and Electronics Engineers (IEEE)
    Publication Date: 2015-09-29
    Description: An iterative ESPRIT-like algorithm is devised for direction-of-departure (DOD) and direction-of-arrival (DOA) estimation in multiple-input multiple-output radar. Our proposal can handle identical DODs and DOAs, and provides autopairing of the angle parameters. Furthermore, it is proved that the multiple signal classification methodology cannot identify (MN ??? 1) targets, where M and N are the element numbers in the transmit and receive antennas, respectively. Simulation results are included to evaluate the performance of the proposed algorithm.
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  • 17
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    Institute of Electrical and Electronics Engineers (IEEE)
    Publication Date: 2015-09-29
    Description: Multiple-input multiple-output (MIMO) radar imaging suffers from performance degradation under carrier offsets across transmitters and receivers. This paper analyzes the impact of carrier offsets on imaging a sparse target, from the perspective of the MIMO point spread function (PSF). Conditions are established for successful support recovery using orthogonal matching pursuit (OMP), and the performance loss is characterized in terms of l2 distance. A sparse imaging algorithm taking into account the perturbation due to carrier offsets is also proposed, which improves upon the OMP algorithm. Numerical experiments corroborate this analysis.
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  • 18
    Publication Date: 2015-09-29
    Description: Ambiguity functions (AFs) are obtained for a radar using matched illumination (MI) transmit signals for the detection of range-spread targets in the presence of clutter. The transmit signals are adapted to target and interference spectra and are filtered optimally in the receiver; they are designed to maximize signal-to-interference-and-noise ratio (SINR) power ratios at receiver output. In this paper, expressions for processing gains, spread AFs, and Cramer-Rao bounds on range and Doppler estimates are derived based on likelihood functions. Here, for extended targets, AFs resulting from using optimal MI constant envelope waveforms obtained via phase retrieval techniques demonstrate superior resolution characteristics compared with classic linear frequency-modulated (LFM) signals employing optimal pulse compression. For various target and clutter spectral models, simulation results show that optimally filtered MI signals provide significantly enhanced SINR behavior compared with LFM radar signals. Hopefully, these results set the stage for the induction of MI signaling and receive techniques into conventional radar signal processing and pave the way for realization of one methodology for achieving cognition in radar systems.
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  • 19
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    Institute of Electrical and Electronics Engineers (IEEE)
    Publication Date: 2015-09-29
    Description: In an effort to improve the channel utilization of a warship combat system (WCS), it is necessary to control and manage the large volume of video traffic by considering a strong self-similarity characteristic. We propose a new video traffic management method for the WCS that smooths the traffic of the closed-circuit television surveillance system (CSS) video and encodes the electro-optical tracking system (EOTS) video with low complexity in real time. First, to achieve global and local traffic smoothing for the CSS video traffic, a proper bandwidth allocation interval and a minimum bandwidth for the CSS video traffic must be determined. Second, due to the increased available bandwidth after traffic smoothing, more elaborate low-delay encoding is accomplished by selecting encoding modes adaptively to compress the EOTS video efficiently with high visual quality. The experimental results demonstrate that the proposed method is able to control the WCS traffic to be as flat as possible and to encode the EOTS video with low delay, even in combat and emergency scenarios. Hence, we show that to migrate to network-centric warfare successfully, the proposed method is much more suitable for the WCS than conventional video traffic management.
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  • 20
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    Institute of Electrical and Electronics Engineers (IEEE)
    Publication Date: 2015-09-29
    Description: In this paper, we propose multiple-input multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM) radar with sufficient cyclic prefix (CP), where all OFDM pulses transmitted from different transmitters share the same frequency band and are orthogonal to each other for every subcarrier in the discrete frequency domain. The orthogonality is not affected by time delays from transmitters. Thus, our proposed MIMO OFDM radar has the same range resolution as single transmitter radar and achieves full spatial diversity. Orthogonal designs are used to achieve this orthogonality across the transmitters, with which it is only needed to design OFDM pulses for the first transmitter. We also propose a joint pulse compression and pulse coherent integration for range reconstruction. In order to achieve the optimal signal-to-noise ratio (SNR) for the range reconstruction, we apply the paraunitary filterbank theory to design the OFDM pulses. We then propose a modified iterative clipping and filtering (MICF) algorithm for the designs of OFDM pulses jointly, when other important factors, such as peak-to-average power ratio (PAPR) in time domain, are also considered.With our proposed MIMO OFDM radar, there is no interference for the range reconstruction not only across the transmitters but also across the range cells in a swath called inter-range-cell interference (IRCI) free that is similar to our previously proposed CP-based OFDM radar for single transmitter. Simulations are presented to illustrate our proposed theory and show that the CP-based MIMO OFDM radar outperforms the existing frequency-band shared MIMO radar with polyphase codes and also frequency division MIMO radar.
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  • 21
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    Institute of Electrical and Electronics Engineers (IEEE)
    Publication Date: 2015-09-29
    Description: The minimum-variance filter and smoother are generalized to include Poisson-distributed measurement noise components. It is shown that the resulting filtered and smoothed estimates are unbiased. The use of the filter and smoother within expectation-maximization algorithms are described for joint estimation of the signal and Poisson noise intensity. Conditions for the monotonicity and asymptotic convergence of the Poisson intensity iterates are also established. An image restoration example is presented that demonstrates improved estimation performance at low signal-to-noise ratios.
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  • 22
    Publication Date: 2015-09-29
    Description: This paper proposes a new radar/sonar processing architecture that enables a low-rate time-sampling rate while still producing a high-resolution range profile over a narrow range-window. This new architecture generalizes the conventional ???stretch processing??? architecture (which employs linear frequency modulated (LFM) waveforms that suffer from high range-sidelobes), to nonlinear frequency modulated (NLFM) waveforms, which can lower the range-sidelobes without tapering. Computational results demonstrate both the estimation efficacy and the time-sampling efficiency of the proposed scheme.
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  • 23
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    Institute of Electrical and Electronics Engineers (IEEE)
    Publication Date: 2015-09-29
    Description: Free-floating manipulators are subject to dynamic singularities that complicate their Cartesian motions and restrict their workspace. In this work, the Cartesian trajectory planning of free-floating manipulators is studied. A methodology is developed in which, for given end-effector trajectories, appropriate initial system configurations are found that result in singularity avoidance during end-effector motion. The method applies to both planar and spatial systems, with and without initial angular momentum, and to any desired end-effector position and attitude trajectories.
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  • 24
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    Institute of Electrical and Electronics Engineers (IEEE)
    Publication Date: 2015-09-29
    Description: This paper investigates the problem of fusion filtering for a class of networked multisensor fusion systems with multiple uncertainties, including sensor failures, stochastic parameter uncertainties, random observation delays, and packet dropouts. A novel model is proposed to describe the random observation delays and packet dropouts, and a robust optimal fusion filter for the addressed networked multisensor fusion systems is designed using the innovation analysis method. The dimension of the designed filter is the same as that of the original system, which helps to reduce computation cost compared with the augmentation method. Moreover, robust reduced-dimension observation-fusion Kalman filters are proposed to further reduce the computation burden. Note that the designed fusion filter gain matrices can be computed off-line, as they depend only on the upper bounds of random delays and on the occurrence probabilities of delays and sensor failures. Some sufficient conditions are presented for stability and optimality of the designed fusion filters, and a steady-state fusion filter is also given for the networked multisensor fusion systems. Simulations show the effectiveness of the proposed fusion filters.
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  • 25
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    Institute of Electrical and Electronics Engineers (IEEE)
    Publication Date: 2015-06-13
    Description: Presents the back cover of this issue of the periodical.
    Print ISSN: 0885-8985
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  • 26
    Publication Date: 2015-06-13
    Description: Nonmilitary applications of unmanned air vehicles (UAVs), especially as rescue vehicles to obtain information have increased in recent years. Small UAVs (SUAV) were used in nonmilitary projects, where the focus was on autonomous vehicles; however, microaerial vehicles (MAVs), such as Samarai, make use of radio control, and they were not autonomous vehicles [1]. Autonomous UAVs need sophisticated guidance, control, and navigation systems with conventional aircraft flying processes. Most of current UAVs use ground-station commands for guidance purposes, although autonomous UAVs tend to reduce dependency on ground-station command via autonomous algorithms, such as intelligent methods. Therefore, ground-based air control may not suffice to cover every flying mission. Thus, self-contained, onboard guidance via intelligent methods, such as fuzzy logic, has been considered to achieve this goal. Lockheed Martin???s Intelligent Robotics Laboratory has spent the last 5 years developing an unmanned craft to replicate the air vehicle motion. The idea was based on the motion of maple seed, which whirls softly to the ground after dropping from maple tree. This motion, which is similar to a one-winged helicopter, inspired Lockheed Martin to design a new type of flying vehicles, beneficial in military and nonmilitary surveillance. Maple seeds disperse themselves by auto-rotating passively by using a single wing as they descend from trees, thereby ensuring they are widely scattered. Inspired by these flight concepts, Lockheed Martin Advanced Technology Laboratories developed the Samarai MAV, a 30-cm-radius maple seedlike aircraft that can take off and land vertically and fly laterally, like a helicopter, due to the intrinsic stability of the maple seeds??? nature [2] (Figure 1).
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  • 27
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    Institute of Electrical and Electronics Engineers (IEEE)
    Publication Date: 2015-06-13
    Description: Presents the message from the Associate Editor-in-Chief.
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    Institute of Electrical and Electronics Engineers (IEEE)
    Publication Date: 2016-07-19
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  • 29
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    Institute of Electrical and Electronics Engineers (IEEE)
    Publication Date: 2016-07-19
    Description: This paper presents a method to estimate steady wind and a maneuvering strategy for loitering under a strong, steady wind. The wind estimation uses Global Positioning System velocity only through a novel filter design without airspeed measurement. The wind estimate is then used to guide the aircraft to crab in a direction perpendicular to the wind, thereby avoiding large changes in flight variables if an orbit-type maneuver is attempted. The proposed method is demonstrated through flight tests.
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  • 30
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    Institute of Electrical and Electronics Engineers (IEEE)
    Publication Date: 2016-07-19
    Description: We propose biased estimators to find the direction of arrival of emitters present in the mainlobe of a spinning antenna-based electronic intelligence system. The proposed estimators were constructed by using Bayesian techniques and by performing a linear transformation and an affine transformation on the maximum likelihood estimator. From a Monte Carlo simulation and experimental results, we demonstrate that the proposed estimators outperform the limit set by the popular performance benchmark, the Cramer-Rao lower bound.
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  • 31
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    Institute of Electrical and Electronics Engineers (IEEE)
    Publication Date: 2016-07-19
    Description: A new method was proposed for chirp signal detection and estimation built on the frame-based fast Fourier transform (FFT). The proposed method uses the peak frequency difference between FFT frames to detect a chirp signal and estimate chirp rate. This approach differs from conventional methods and is easy to implement. It generates more accurate chirp rate estimation especially under a low signal-to-noise ratio. Simulation and experimental data are used to verify the proposed methods.
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  • 32
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    Institute of Electrical and Electronics Engineers (IEEE)
    Publication Date: 2016-07-19
    Description: The quasimaximum likelihood (QML) estimator of polynomial-phase signals (PPSs) is based on the maximization of the short-time Fourier transform and suffers from aliasing when signals are sampled below the Nyquist sampling rate. In this paper, a phase unwrapping procedure has been proposed as an additional step in the QML to estimate parameters of such signals. Statistical study has shown excellent performance of the proposed approach.
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  • 33
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    Institute of Electrical and Electronics Engineers (IEEE)
    Publication Date: 2016-07-19
    Description: In this paper, a direct approach of designing robust weighted fusion steady-state Kalman predictors with uncertain noise variances is presented. Based on the steady-state Kalman filtering theory, using the minimax robust estimation principle, the local and six weighted fusion robust steady-state Kalman predictors are proposed based on the worst case systems with the conservative upper bounds of noise variances. They include the three robust weighted state fusers, two robust weighted measurement fusers, and a modified robust covariance intersection (CI) fuser. Their actual prediction error variances are guaranteed to have the corresponding minimal upper bounds for all admissible uncertainties. A Lyapunov equation approach for robustness analysis and the concept of the robust accuracy are presented and their robust accuracy relations are proved. A simulation example verifies the accuracy relations and robustness.
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  • 34
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    Institute of Electrical and Electronics Engineers (IEEE)
    Publication Date: 2016-07-19
    Description: In multitarget tracking, the problem of track labeling (assigning labels to tracks) is an ongoing research topic. The existing literature, however, lacks an appropriate measure of uncertainty related to the assigned labels that has a sound mathematical basis as well as clear practical meaning to the user. This is especially important in a situation where well separated targets move in close proximity with each other and thereafter separate again; in such a situation, it is well known that there will be confusion on target identities, also known as "mixed labeling." In this paper, we specify comprehensively the necessary assumptions for a Bayesian formulation of the multitarget tracking and labeling (MTTL) problem to be meaningful.We provide a mathematical characterization of the labeling uncertainties with clear physical interpretation.We also propose a novel labeling procedure that can be used in combination with any existing (unlabeled)MTT algorithm to obtain a Bayesian solution to the MTTL problem. One advantage of the resulting solution is that it readily provides the labeling uncertainty measures. Using the mixed labeling phenomenon in the presence of two targets as our test bed, we show with simulation results that an unlabeled multitarget sequential Monte Carlo (M-SMC) algorithm that employs sequential importance resampling (SIR) augmented with our labeling procedure performs much better than its "naive" extension, the labeled SIR M-SMC filter.
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  • 35
    Publication Date: 2016-07-19
    Description: Track-before-detect methods jointly detect and track one or several targets from raw sensor measurements. They often require the computation of the measurement likelihood conditional on the hidden state, which depends on the complex amplitudes of the targets. Since these amplitudes are unknown and fluctuate over time, this likelihood must be marginalized over the complex amplitude (i.e., phase and modulus). It has been demonstrated that this marginalization can be done analytically over the phase in the monotarget case. In this article, we first propose to extend the marginalization to the modulus in a monotarget setting, and we show that closed forms can be obtained for fluctuations of type Swerling 1 and 3. Second, we demonstrate that, in a multitarget setting, a closed form can be obtained for the Swerling 1 case. For Swerling 0 and 3 models, we propose some approximation to alleviate the computation. Since many articles consider the case of squared modulus measurements, we also consider this specific case in monoand multitarget settings with Swerling 0, 1, and 3 fluctuations. Finally, we compare the performance in estimation and detection for the different cases studied, and we show the gain, both in detection and estimation, of the complex measurement method over the squared modulus method, for any fluctuation model.
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  • 36
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    Institute of Electrical and Electronics Engineers (IEEE)
    Publication Date: 2016-07-19
    Description: When a bistatic inverse synthetic aperture radar (ISAR) system fails to collect complete radar cross section (RCS) datasets, bistatic ISAR (Bi-ISAR) images are usually corrupted using the conventional Fourier transform (FT)-based imaging algorithm. To overcome this problem, this paper proposes a new Bi-ISAR image reconstruction method that includes three steps: suboptimal estimation of parameters regarding the bistatic angle in the Bi-ISAR signal model via an orthogonal matching pursuit-type group-searching scheme, Bi-ISAR signal reconstruction using the estimated parameters, and Bi-ISAR image generation using the FT-based imaging algorithm applied to the reconstructed Bi-ISAR signal. To validate the reconstruction capability of the proposed method, bistatic-scattered field data using the physical optics technique as well as the point-scatterer model are used for Bi-ISAR image reconstruction. The results show that the proposed sparse-recovery-interpolation approach based on the Bi-ISAR signal model reconstruction combined with the classical FT-based algorithm can yield high reconstruction accuracy for incomplete bistatic RCS data compared to conventional numerical interpolation methods and existing direct sparse reconstruction techniques.
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  • 37
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    Institute of Electrical and Electronics Engineers (IEEE)
    Publication Date: 2016-07-19
    Description: Bistatic inverse synthetic aperture radar (ISAR) is an efficient geometric configuration of ISAR to image targets traveling along radar transmitter's line of sight, but it has the problem of defocusing and distortion because of the time-varying bistatic angle. In this paper, we derive the defocusing term and the distortion term by expanding the bistatic angle using first-order Taylor expansion. In addition, necessary constraints to neglect the defocusing term are provided via point spread function analysis, and a novel method to eliminate distortion based on linked scatterers is proposed. Simulation results validate our theoretical analysis and show the effectiveness of our method.
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  • 38
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    Institute of Electrical and Electronics Engineers (IEEE)
    Publication Date: 2016-07-19
    Description: Micro-Doppler (MD)-based target classification capabilities of automotive radars can provide high reliability and short latency to future active safety automotive features. A large number of pedestrians surrounding a vehicle in practical urban scenarios mandate prioritization of their treatment level. Distinguishing between relevant pedestrians that are crossing the street or are within the vehicle path and those that are on the sidewalks and are moving along the vehicle route can significantly minimize the number of vehicle-to-pedestrian accidents. This work proposes a novel technique for estimating a pedestrian direction of motion that treats pedestrians as complex distributed targets and utilizes their MD radar signatures. The MD signatures are shown to be indicative of pedestrian direction of motion, and a supervised regression is used to estimate the mapping between the directions of motion and the corresponding MD signatures. In order to achieve higher regression performance, a state-of-the-art sparse dictionary learning-based feature extraction algorithm was adopted from the field of computer vision by drawing a parallel between the Doppler effect and the video temporal gradient. The performance of the proposed approach is evaluated in practical automotive scenario simulations, where a walking pedestrian is observed by a multiple-input/multiple-output automotive radar with a two-dimensional rectangular array. The simulated data was generated using the statistical Boulic-Thalman human locomotion model. Accurate direction of motion estimation was achieved by using support vector regression and multilayer perceptron-based regression algorithms. The results show that the direction estimation error is less than 10° in 95% of the tested cases for pedestrian at a range of 100 m from the radar.
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  • 39
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    Institute of Electrical and Electronics Engineers (IEEE)
    Publication Date: 2016-07-19
    Description: This paper proposes a novel phase synchronization technique that enables beamforming with multiple resource-limited spacecraft in space and capitalizes on their spatial geometry. The proposed technique employs an external beacon to obviate the need for explicit time synchronization and reduces the accuracy requirements on localization. Results show that subcentimeter (subnanosecond)-level phase synchronization can be achieved with localization accuracy in the order of meters.
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  • 40
    Publication Date: 2016-07-19
    Description: The use of chirp signals in modern radar and ranging systems have numerous benefits. They are extensively used to improve signal-to-noise ratio and range resolution. The performance capabilities of these signals are directly related to their time-bandwidth product, i.e., the duration and bandwidth of the pulse. Ultra-wideband chirp signals are further desirable because they span a large bandwidth, making them resistant to narrowband environmental interference. The accurate detection and measurement of high chirp signals is difficult due to the necessity of a high-sampling analog-digital converter, a target measurement platform with high computational power, and a time-of-arrival (TOA) estimator with high temporal resolution. The difficulty of the problem is further compounded with the requirement that no a priori knowledge of the signal, noise, or operating environment is known. This paper presents a practical approach and implementation of a high linear chirp rate receiver and TOA estimator pair capable of detecting and measuring stationary radio frequency pulses as well as linear chirp rates up to 1.18 GHz in 400 ns. The high-resolution TOA algorithm and linear chirp receiver have been prototyped, synthesized, and placed and routed for a Virtex 6 SX475 FPGA.
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  • 41
    Publication Date: 2016-07-19
    Description: In this paper, an impact angle control guidance law, which considers simultaneously the impact angle and seeker's look angle constraints, is proposed for a constant speed missile against a stationary target. An optimal control theory with state variable inequality constraint is used to design the guidance law, for which a control energy performance index with the weighting function of the range-to-go is minimized. Various forms of guidance and trajectory shaping are possible by selecting a proper gain of the weighting function. To handle the seeker's look angle limits when the missile trajectory is highly curved by controlling the impact angle, the proposed guidance law generates three types of acceleration commands as the guidance phases: the first acceleration command for an initial guidance phase makes an initial seeker's look angle reach the maximum look angle; the second one for a midguidance phase maintains the maximum look angle; the final one for a terminal guidance phase intercepts the target with the desired impact angle. The performance of the proposed guidance law was investigated with nonlinear simulations for various engagement conditions.
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  • 42
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    Institute of Electrical and Electronics Engineers (IEEE)
    Publication Date: 2016-07-19
    Description: This paper presents a means of near asteroid hovering of a rigid spacecraft in the asteroid body-fixed frame with parameter variations and external disturbances. An adaptive finite-time control scheme is proposed, where the upper bounds of the parametric uncertainties and disturbances are not required for controller design. The detailed design principles and a rigorous stability analysis are provided. Finally, a body-fixed hovering maneuver is employed in numerical simulation to verify the effectiveness of the proposed strategy.
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  • 43
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    Institute of Electrical and Electronics Engineers (IEEE)
    Publication Date: 2016-07-19
    Description: In global navigation satellite system (GNSS) receivers, the acquisition process is the first stage of the signal processing module. It consists of assessing the presence of GNSS signals and providing a rough estimation of the incoming signal parameters: the Doppler frequency and the code delay. However, the presence of bit sign transitions affects receiver performance in signal acquisition detection. This article focuses on the bit transition and its impact on the acquisition performance by providing a general mathematical study and an illustration for two GNSS signals: the global positioning system legacy civil signal (GPS L1 C/A) and Galileo E1 open service (OS). This study is applicable to a terrestrial user in a constraint environment. Furthermore, the presented results are mathematical models of the probability of detection in the presence of bit sign transitions (only one potential bit sign transition per integration interval), and potential uncertainties on the Doppler frequency and code delay. These do not result from empirical acquisition of real signals.
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    Institute of Electrical and Electronics Engineers (IEEE)
    Publication Date: 2016-07-19
    Description: This paper investigates the problem of ground vehicle tracking with ground-moving target indicator (GMTI) radar. In practice, the movement of ground vehicles may involve several different maneuvering types (acceleration, deceleration, standstill, etc.). Consequently, the GMTI radar may lose measurements when the radial velocity of the ground vehicle is below a threshold, i.e., falling into the Doppler blind region. In this paper, to incorporate the information gathered from normal measurements and knowledge on the Doppler blindness constraint, we develop an enhanced particle filtering method for which the importance distributions are inspired by a recent noise-related Doppler blind (NRDB) filtering algorithm for GMTI tracking. Specifically, when constructing the importance distributions, the proposed particle filter takes the advantages of the efficient NRDB algorithm by applying the extended Kalman filter and its generalization for interval-censored measurements. In addition, the linearization and Gaussian approximations in the NRDB algorithm are corrected by the weighting process of the developed filtering method to achieve a more accurate GMTI tracking performance. The simulation results show that the proposed method substantially outperforms the existing methods for the GMTI tracking problem.
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  • 45
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    Institute of Electrical and Electronics Engineers (IEEE)
    Publication Date: 2016-07-19
    Description: Sets that are defined either from closed contours or from a set of points are generic descriptors for several kinds of objects in binary images. In this paper, we derive a novel model in the space of sets and design an observer for the proposed model to estimate the depth and orientation of planar objects from a camera. This problem is well known as "structure from motion." When the objects are only partially projected on the image plane of the camera, our model makes object depth and orientation estimation possible without feature tracking and matching between distinct image frames (i.e., the so-called correspondence problem), which is an advantage over the image moments-based model. However, the proposed model fails in some situations (the failures can be seen as brief instabilities), and it is not always continuous. To compensate for these drawbacks, we designed a fast observer based on L 1 control theory with a binary signal for the proposed model. Stability analysis with respect to a certain asymptotic instability ratio is also presented in this paper. The effectiveness of the proposed model and observer is demonstrated through simulations and experimental results.
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  • 46
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    Institute of Electrical and Electronics Engineers (IEEE)
    Publication Date: 2016-07-19
    Description: Presents the front cover/table of contents for this issue of this publication.
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  • 47
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    Institute of Electrical and Electronics Engineers (IEEE)
    Publication Date: 2016-07-19
    Description: A novel differential vector phase locked loop (DVPLL) is derived that takes global navigation satellite system (GNSS) code-phase and carrier-phase measurements from a base station and uses them to maintain a position with centimeter-level accuracy directly in the vector tracking loop of a rover receiver. The navigation filter uses five state variables, three position and two clock states, to create the replica code and carrier measurements for a static test. There are no individual channel states or feedback mechanisms. Closing the individual loops solely through the navigation filter makes this a purely vector method. For short baselines, where differential atmospheric errors are small, the DVPLL can be used on single-frequency data. An L1-only live-sky static test was performed using the method, resulting in a three-dimensional accuracy of 1.3 mm for a zero-baseline and 5.3 mm for an 18.5 m baseline.
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    Publication Date: 2016-07-19
    Description: An adaptive actuator failure and disturbance compensation scheme is developed for attitude tracking control of spacecraft. The proposed scheme consists of a composite parameter adaptation design that incorporates an adaptive backstepping feedback control law and an adaptive feedforward actuator failure compensator; it can guarantee the overall closed-loop system stability and asymptotic tracking. Illustrative simulation results of an application to a spacecraft model show that the designed actuator failure compensation controller ensures system stability and tracking performance.
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    Publication Date: 2016-07-19
    Description: Track-before-detect (TBD) is a popular incoherent energy integration technique aimed at improving detectability of weak targets. A number of studies are available in the literature demonstrating its efficacy against disturbance (whether noise or clutter), but most of them refer to synthetic data, i.e., relying on computer simulations. In this paper, we tackle the problem of assessing the TBD performance with real data and in a particularly severe clutter environment, i.e., sea-clutter. Precisely, using a set of real data from a ground-based sea-search radar, we implement TBD directly on the plot-lists coming from the radar plot extractor (this be can done with acceptable complexity by using an ad hoc dynamic programming algorithm), and demonstrate its effectiveness in reducing sea-clutter. As a further contribution, we also develop an improved decision logic for plot confirmation.
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    Publication Date: 2016-07-19
    Description: The concept of more electric aircraft leads to increases in the amount of electrical loads, as well as the power consumed in the aircraft of the future. To utilize the power feeders, more symmetric, load balancing methods can be applied to swap loads between different phases of an alternating current (AC) feeder, or even between different power feeders. If the load balancing system reacts to measurement data during the flight in real time, the cable power losses and return network power losses, too, are reduced. In addition, the rate of power management interventions decreases. The load balancing problem in three-phase systems is a mixed-integer nonlinear nondifferentiable optimization problem, which is typically solved by elaborate and time-consuming nonreal-time optimization algorithms. The AC loads in aircraft have different power factors, which result in currents described by complex numbers. To determine a load swapping scheme in real time starting from a given load allocation with sparse swapping, new heuristics are presented. One heuristic is specially designed to solve the phase swapping problem by shifting single-phase loads between phases of a feeder. Another heuristic, based on the first one, is enhanced to more than one three-phase feeder and considers the swapping of single-phase and three-phase loads. The heuristics are tested by simulations of a comprehensive case study based on real measurement data from a modern passenger aircraft. To prove the efficiency of the new concepts, a test bench has been built, and several experiments successfully conducted.
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    Publication Date: 2016-07-19
    Description: The probability hypothesis density (PHD) filter is an efficient algorithm for multitarget tracking in the presence of nonlinearities and/or non-Gaussian noise. The sequential Monte Carlo (SMC) and Gaussian mixture (GM) techniques are commonly used to implement the PHD filter. Recently, a new implementation of the PHD filter using B-splines with the capability to model any arbitrary density functions using only a few knots was proposed. The spline PHD (SPHD) filter was found to be more robust than the SMC-PHD filter because it does not suffer from degeneracy, and it was better than the GM-PHD implementation in terms of estimation accuracy, albeit with a higher computational complexity. In this paper, we propose a multiple model extension to the SPHD filter to track multiple maneuvering targets. Simulation results are presented to demonstrate the effectiveness of the new filter.
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  • 52
    Publication Date: 2016-07-19
    Description: This paper proposes an optimal control framework for the climb and descent economy modes of a flight management system (FMS) yielding a solution that can be implemented in real-time flights below the drag divergence Mach number. The problem is formulated as the optimization of a functional that trades off the fuel- and time-related costs of a flight as a function of a (crew-supplied) parameter called the cost index. The work builds on previous research of the authors for the cruise phase and extends it to the climb and descent phases of flight. More specifically, for both climb and descent, it is found that suboptimal solutions can be obtained as the positive real roots of a fifth-degree polynomial lying inside the flight envelope, which can be found using fast-converging algorithms such as Newton's method. The main contributions of this work are threefold. First, the proposed method gives physical insight because there is an analytical expression for each coefficient of the polynomial. Second, this approach eliminates the need to have a performance database in the system, thus making its implementation faster in real-time. Third, the solution exhibits the same behavior of airborne FMS units as a function of the cost index, which is justified in this paper based on Bellman's principle of optimality. This justification is an important theoretical contribution of the paper. A validation of the approximate solution is obtained using the shooting method to compute the optimal trajectories and compare them against the proposed suboptimal solution. Simulation results show that, for an Airbus A320 model and for a Gulfstream-IV aircraft model, the relative error of the suboptimal trajectories when compared to the optimal trajectories is small for climb and descent trajectories, respectively.
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  • 53
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    Publication Date: 2016-07-19
    Description: An X-band, 15-W-class gallium nitride (GaN) solid-state power amplifier (SSPA) for the 50-kg-class ultrasmall deep-space probe PROCYON has been demonstrated in deep space for the first time. PROCYON was launched on December 3, 2014, as a subpayload of the Hayabusa 2 spacecraft. The GaN SSPA consists of three-stage, single-end amplifiers. The final-stage GaN high-power amplifier, which dominates the characteristics of the SSPA, achieves a maximum drain efficiency of 55.8% at 8.4 GHz. The fabricated SSPA using this GaN high-power amplifier has dimensions of 150 x 120 x 62 mm and weighs 1.5 kg, and its space applicability was confirmed through space environmental tests. For more than 2450 h of continuous operation in deep space, the GaN SSPA has achieved an average output power of 41.7 dBm (14.8 W), with standard deviation of 0.12 dB, maximum overall efficiency of 35.7%, and average efficiency of 33.8%. To the authors' knowledge, this is the highest efficiency of all proven X-band onboard SSPAs.
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    Publication Date: 2016-07-19
    Description: In this paper, an adaptive cubature Kalman filter (ACKF) is proposed to improve the performance of the conventional cubature Kalman filter. The ACKF uses a new cubature rule that combines a third-degree spherical rule with an adaptive higher degree radial rule along the directions of larger uncertainty. More accurate and robust results can be obtained with slightly more cubature points than the conventional third-degree cubature Kalman filter (CKF). Compared with other high-degree Gaussian filters, ACKF uses much fewer points but maintains very close performance. A target tracking problem is used to demonstrate the effectiveness of the proposed filter.
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    Institute of Electrical and Electronics Engineers (IEEE)
    Publication Date: 2016-07-19
    Description: We propose a simple method for estimating crystal oscillator g-sensitivity in inertially aided Global Navigation Satellite System (GNSS) receivers. It does not require any specific equipment, like GNSS signal simulators or rate tables. The method is based on analyzing closed-loop phase tracking errors. This enables us to utilize the actual GNSS signal as the frequency reference, despite the presence of an unknown Doppler shift in it. The method has been successfully applied to the calibration of an oven-controlled crystal oscillator.
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    Institute of Electrical and Electronics Engineers (IEEE)
    Publication Date: 2016-06-21
    Description: Presents the front cover for this issue of the publication.
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    Institute of Electrical and Electronics Engineers (IEEE)
    Publication Date: 2016-06-21
    Description: Lists upcoming AESS society meetings and conferences.
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    Institute of Electrical and Electronics Engineers (IEEE)
    Publication Date: 2016-06-24
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    Institute of Electrical and Electronics Engineers (IEEE)
    Publication Date: 2016-06-24
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    Publication Date: 2016-06-24
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    Institute of Electrical and Electronics Engineers (IEEE)
    Publication Date: 2016-06-24
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    Institute of Electrical and Electronics Engineers (IEEE)
    Publication Date: 2016-06-21
    Description: Advertisement.
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  • 63
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    Institute of Electrical and Electronics Engineers (IEEE)
    Publication Date: 2016-06-21
    Description: Presents letters to the editor for this issue of the publication.
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  • 64
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    Institute of Electrical and Electronics Engineers (IEEE)
    Publication Date: 2016-06-21
    Description: Presents a listing of AESS IEEE Senior Members.
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  • 65
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    Institute of Electrical and Electronics Engineers (IEEE)
    Publication Date: 2016-06-21
    Description: Presents information on the guidelines for the 2016 Robert T. Hill best dissertation award.
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    Institute of Electrical and Electronics Engineers (IEEE)
    Publication Date: 2016-06-21
    Description: A global navigation satellite system (GNSS) receiver processes signals transmitted from the satellites to determine user position, velocity, and time. Compared to conventional receivers, a software GNSS receiver offers better design flexibility and requires fewer dedicated hardware components [1]. An ideal software receiver typically processes all signals in a processor; however, this method is not efficient practically, because it becomes a computational burden for the processor. For this reason, frequent multiplications and operations are offloaded to hardware elements such as a field-programmable gate array (FPGA).
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    Institute of Electrical and Electronics Engineers (IEEE)
    Publication Date: 2016-06-21
    Description: Advertisement, IEEE.
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    Institute of Electrical and Electronics Engineers (IEEE)
    Publication Date: 2016-06-21
    Description: Presents the 2015 author/subject index for this publication.
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    Institute of Electrical and Electronics Engineers (IEEE)
    Publication Date: 2016-06-21
    Description: Currently, the diverse engineering disciplines involved in a complex product, for example unmanned aerial vehicle (UAV) development, work in isolation without the benefits of accelerated delivery of capabilities more reliable and affordable. Considering the vehicle as a system requires the integration of engineering disciplines, such as mechanical, electrical, control, avionics, and software with potentially disparate design artifacts. This integration allows risk containment by improving the confidence in the system design at earlier stages of the system development.
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  • 70
    Publication Date: 2016-06-21
    Description: In recent years, the design of so-called tunable detectors has raised significant interest in the radar community. The class of tunable detectors has been shown to be an effective means to attack detection of mainlobe targets or rejection of coherent repeater interferers in the presence of clutter and/or possible noise-like in-terferers. Tunable detectors allow adjustment of the rate at which the probability of detection Pd decreases as the received signal departs from the nominal one. In this case, a mismatch between the nominal and the actual steering vector is present. We refer to the capability of rejecting or detecting signals as directivity. Existing architectures can be classified according to their directivity as follows [1]: ▸ Robust decision schemes provide good detection performance in the presence of echoes containing signal components not aligned with the nominal (transmitted) signal (as shown in Figure 1, where target returns lie on a direction that is not aligned with the antenna beam boresight). ▸ Selective decision schemes are capable of rejecting signals whose signature is unlikely to correspond to the signal of interest to avoid false alarms.
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    Institute of Electrical and Electronics Engineers (IEEE)
    Publication Date: 2016-06-24
    Description: Small satellites are revolutionizing the space industry [1]. In particular, nanosatellites are very attractive because they enable access to space with a significant reduction of costs for satellite industries, and a shorter development time with respect to large satellites [2], [3]. Moreover, thanks to modern technologies, relatively complex missions can be planned for Earth observation [4], remote sensing [5], communication technology experiments [6], hardware validation and other scientific missions, as well as educational purposes [7]-[10].
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    Institute of Electrical and Electronics Engineers (IEEE)
    Publication Date: 2016-06-24
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    Institute of Electrical and Electronics Engineers (IEEE)
    Publication Date: 2016-06-24
    Description: Cost estimation is a critical issue in the planning of a large project and may prove to be a vital determinant of final success. Despite its great importance, predicting the cost of developing complex high-technology systems and products, based a good deal on research and development, is difficult and carries a degree of uncertainty in the results. The difficulty of the process has been especially evident in projects for which there was little prior experience. Estimating satellite development costs has been just such an endeavor, in which history shows cost overruns are not uncommon [1].
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  • 74
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    Publication Date: 2016-06-24
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  • 75
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    Institute of Electrical and Electronics Engineers (IEEE)
    Publication Date: 2016-06-24
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  • 76
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    Institute of Electrical and Electronics Engineers (IEEE)
    Publication Date: 2016-06-24
    Description: Whenever a tried-and-true classic beloved by many is revised by a team of authors rather than the original author, the first question that one tends to want answered is, “Have they ruined it?” In this case, the answer is a definitive no. This is a magnificent revision of a classic that will become a classic in its own right. It is the first book new employees who are going to specialize in radar should be handed to read, independent of any area they choose to specialize in. For more senior radar specialists, it is a quick refresher at the high level of the familiar, so specialists can visit a subject area in preparation for an elevator speech or a talk with a manager who has not specialized in radar. Radar is such a broad area of specialization that one cannot be familiar with all aspects of it, particularly as the number of subfields within radar has exploded in the last 20 years. At the elementary level of a non-calculus-based college physics course, Stimsons Introduction to Airborne Radar provides an alternative for first reads of most of the new subfields that have appeared since the previous edition. The graphics in the new edition take advantage of modern developments, so they are much improved. For one who has grown up in a southern household, where recipes have based passed down for generations, the family recipes “smell,” wafting through the kitchen as generations succeed one another. The modern southern kitchen provides the comfort of the old and familiar, with fusion of new species as new traditions are added. The new edition of this book maintains the smell of the old and Stimson's familiar writing style while reflecting the needed fusion with the latest generation's contributions. One wishes other revisions of classic books had been handled with such loving care.
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    Institute of Electrical and Electronics Engineers (IEEE)
    Publication Date: 2016-06-24
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    Institute of Electrical and Electronics Engineers (IEEE)
    Publication Date: 2016-06-24
    Description: During the course of a space mission unexpected events can occur regardless of rigorous testing. In order to ensure the ability of a spacecraft to recover and adapt to new situations, it may be necessary to update the firmware for resolving the software issues, work around hardware problems, or introduce new features. The importance of remote firmware updates as well as a method to calculate an indicative value of flexibility in space missions is summarized by R. Nilchiani [1].
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    Institute of Electrical and Electronics Engineers (IEEE)
    Publication Date: 2016-06-24
    Description: For the 9th time the international conference “Inertial Sensors and Systems” took place in Karlsruhe, Germany, organized by the Institute of Systems Optimization (ITE) together with the German Institute of Navigation (DGON), cosponsored by the Royal Institute of Navigation (RIN) and by the IEEE Aerospace and Electronic Systems Society (AESS).
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    Institute of Electrical and Electronics Engineers (IEEE)
    Publication Date: 2016-06-29
    Description: This special issue of CiSE magazine deals with the application of discrete modeling and simulation tools to problems from different fields, including physics, engineering, environment science, social science, and life sciences. Many of the authors highlighted here examine the computing abilities and principles of discrete models with a focus on their expressive dynamics, their emergent computation, and their inherent parallelism, making them suitable for high-performance computing. Such models can also successfully tackle the computational bottleneck in terms of the complexity inherent in so many mesh-based and analytical numerical simulations.
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    Institute of Electrical and Electronics Engineers (IEEE)
    Publication Date: 2016-06-24
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    Institute of Electrical and Electronics Engineers (IEEE)
    Publication Date: 2016-06-24
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    Publication Date: 2016-06-24
    Description: The characteristics of a landing landmark are a key concern when an autonomous, vision-based unmanned helicopter is landing. The shape and recognition of the landmark determines the posture parameters of the unmanned helicopter and the accuracy of its autonomous landing. This article analyzes and summarizes the shapes and the detection methods of various landmarks used for autonomous landing of helicopters, as well as their relationship to the posture parameters. The characteristics of different landing landmarks are obtained, and then the development of autonomous landing landmarks is analyzed. Finally, this article offers some directions for the future research of autonomous, vision-based landing of unmanned helicopters.
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    Institute of Electrical and Electronics Engineers (IEEE)
    Publication Date: 2016-05-27
    Description: Straight line motion is a fundamental target motion. Its modeling has been well studied for unconstrained targets (e.g., air targets). However, existing straight line motion models cannot be directly used for tracks constrained on a straight line, which has wide application, e.g., in ground target tracking. In this paper, modeling of the target motion constrained on a straight line is considered. First, linear equality constraints imposed by the straight line are set up explicitly. Then both direct elimination and along-track motion projection are applied to obtain two forms of constrained motion models. Connections between the two forms are studied. For the first form, conditions that guarantee the traditional linear Gaussian assumption are obtained. For the second form, conditions under which the motion along each axis is similar to the along-track motion are obtained. Supporting numerical examples are also provided.
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    Publication Date: 2016-05-27
    Description: Training sets for supervised classification tasks are usually limited in scope and only contain examples of a few classes. In practice, classes that were not seen in training are given labels that are always incorrect. Open set recognition (OSR) algorithms address this issue by providing classifiers with a rejection option for unknown samples. In this work, we introduce a new OSR algorithm and compare its performance to other current approaches for open set image classification.
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    Institute of Electrical and Electronics Engineers (IEEE)
    Publication Date: 2016-05-27
    Description: We propose a fast method of ultrawideband (UWB) radar imaging that can be applied to a moving target, having in mind such application as concealed weapon detection. We demonstrate the performance of the proposed method using simulations and measurements with static and moving targets. We also compare the computational complexity of the proposed method with that of a conventional method to clarify the feasibility of applying the proposed method to the intended real-time systems.
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  • 87
    Publication Date: 2016-05-27
    Description: Nutation and precession parameter estimation is of great importance for attitude estimation of spin-stabilized space targets. In this paper, we propose a novel method to estimate the nutation and precession parameters of a rigid-body object from the one-dimensional high-resolution radial-range measurements. First, we elaborately derive the kinematic equations and one-dimensional radial-projection model of the precession-with-nutation object, where fixed-point and slipping scatterers are separately taken into account. Second, by using the radial-range trajectories of multiple scatterers, we employ the factorization-based algorithm to obtain the motion reconstruction. Third, we estimate the nutation and precession parameters based on the reconstructed motion and the spectrum analysis of the associated trajectories. Moreover, the l1-norm-based one-dimensional trajectory-recovering technique is developed to deal with the incomplete radial-range trajectories caused by the shadowing effect, specularity, and so on. Finally, experiments are carried out on the electromagnetic analysis data to verify the proposed model and parameter-estimation method.
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  • 88
    Publication Date: 2016-05-27
    Description: Reductionism and holism are two worldviews underlying the fields of linear and nonlinear signal processing, respectively. Conventional radar resolution theory is motivated by the former view, and it is violated by nonlinear phase modulation induced by dispersive scattering typically associated with extended targets. Motivated by the latter view, this paper offers a new insight into the process of feature extraction for target-recognition applications in single-channel imagery output from synthetic aperture radar processors. Two novel frameworks for holism-based feature extraction are presented. The first framework is based solely on the often-ignored phase chip. The second framework uses the complex-valued 2-D synthetic aperture radar chip after it is transformed into a 1-D vector. Representative features are introduced under each framework. Further, for comparison purposes, baseline features from the power-detected chip are also considered. Three feature sets are extracted from the real-world MSTAR data set and used separately and combinatorially to design multiple instances of an eight-class support vector machine classifier. A classification accuracy of 93.42% is achieved for the holism-based features. This is in comparison to 73.63% for the baseline features. Using Fisher scoring to measure the information contained in each feature, top-ranked features from the first and second holism-based frameworks, respectively, are found to be 7 and 160 times those of the baseline features. Because the nonlinear phenomenon is resolution dependent, our proposed approach is expected to achieve even greater accuracy for synthetic aperture radar sensors with higher resolution.
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    Publication Date: 2016-05-27
    Description: This paper presents a blending principle of tail fins and reaction jets to achieve a fast response for a dual-controlled missile under a slew-rate limit. The blending principle can be categorized as controlling either the net force or the net moment according to how the two actuators cooperate with each other. When compared with controlling the net moment, controlling the net force of aerodynamic lift and jet thrust allows direct control of the acceleration, thus enabling a much faster response but at the expense of large control effort. In this work, for the initial transient period a force controller is designed to achieve fast response under the slew-rate limit, then the transition control is proposed, which begins with force control and makes a transition to moment control to reduce the control usage. This transition does not involve switching from one controller to the other. Rather, the angle of attack is properly shaped corresponding to the desired moment, allowing a smooth and stable transition from force control to moment control. The smooth transition by the proposed strategy from force control to moment control is demonstrated with nonlinear missile dynamics. The proposed approach shows a very fast response, while its input usage is almost same as the conventional moment control.
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    Publication Date: 2016-05-27
    Description: In this correspondence, fractional negative-order moments are used to estimate the K-clutter plus noise parameters. Combining the fractional positive and negative moments, we aim to improve the accuracy of the estimation outcomes. This is achieved through the reduction of the effect of the two first intensity moments involved in the equation of the unknown parameters. For instance, the proposed fractional positive- and negative-order moments??? estimator, given in terms of two confluent hypergeometric functions, is solved numerically to yield the shape parameter. Using single pulse and multiple pulses in various clutter plus noise scenarios, we show, via both simulated and IPIX real data, a comparison of the new estimator with the estimators based on the higher-order moments, the fractional positive-order moments, the [zlog(z)], and the constrained maximum likelihood.
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    Institute of Electrical and Electronics Engineers (IEEE)
    Publication Date: 2016-05-27
    Description: Presents a listing of the editors and their technical areas of specialty for the publication.
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  • 92
    Publication Date: 2016-05-28
    Description: The field of computing is rapidly developing, requiring a strong and diverse labor force. The authors' work assessed the relationship between lesbian, gay, bisexual, transgender, and queer (LGBTQ) students' sense of belonging in computing and thoughts about leaving the field. The results of two studies indicated that among undergraduate students (study 1) and graduate students (study 2), thoughts about leaving a computing program were associated with feeling a low sense of belonging in the computing community. Importantly, women LGBTQ students reported the lowest sense of belonging among all student groups in the samples. These findings suggest in order to capitalize on talent and perspective offered by the LGBTQ community, the field of computing should be especially attentive to LGBTQ students' sense of fit in the computing community.
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    Institute of Electrical and Electronics Engineers (IEEE)
    Publication Date: 2016-05-28
    Description: Associate editor in chief Doug Post describes how the periodic table of elements is an example of big data as we know it today.
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    Institute of Electrical and Electronics Engineers (IEEE)
    Publication Date: 2016-05-28
    Description: Using funding from the National Science Foundation, DePauw University launched a program for low-income, first-generation scholars in science, technology, engineering, and math (STEM) fields called Julian Scholars. All but one of the undergraduate students in the program began college expressing interest in medical careers, yet over half of the STEM graduates now pursue computer science graduate degrees or computing careers, which is an important statistic because little research about recruiting and retaining underrepresented low-income, first-generation computing students exists. Cornerstones of the program include a week-long summer research experience bridging high school and college, common classes for each cohort, mentoring, one-on-one resume and internship/research counseling, and scholarships. Rockman et al surveyed the Julian Scholars about the bridge program and additional program components to provide quantitative data and also held focus groups to collect qualitative data to augment graduation rates and postgraduation career information.
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    Institute of Electrical and Electronics Engineers (IEEE)
    Publication Date: 2016-05-28
    Description: The guest editors introduce best papers on broadening participation in computing from the RESPECT'15 conference. The five articles presented here are part two of a two-part series representing research on broadening participation in computing. These articles study participation in intersectional ways, through the perceptions and experiences of African-American middle school girls, the sense of belonging in computing for LGBTQ students, the impact of a STEM scholarship and community development program for low-income and first-generation college students, a leadership development program, and how African-American women individually take leadership to enable their success in computing.
    Print ISSN: 1521-9615
    Electronic ISSN: 1558-366X
    Topics: Computer Science , Natural Sciences in General , Technology
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  • 96
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    Institute of Electrical and Electronics Engineers (IEEE)
    Publication Date: 2016-05-28
    Description: Kevin Thielen and Vivienne Tien review J.M. Kinder and P. Nelson's "A Student's Guide to Python for Physical Modeling", declaring that readers can expect to not only know how to write and read Python but also to develop a thorough understanding for developing complex physical models and calculations.
    Print ISSN: 1521-9615
    Electronic ISSN: 1558-366X
    Topics: Computer Science , Natural Sciences in General , Technology
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  • 97
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    Institute of Electrical and Electronics Engineers (IEEE)
    Publication Date: 2016-05-28
    Description: The number of women in computing is significantly lower than the number of men in the discipline, with African-American women making up an even smaller segment of this population. Related literature accredits this phenomenon to multiple sources, including background, stereotypes, discrimination, a lack of self-confidence, and a lack of self-efficacy. However, a majority of the literature fails to represent African-American females in research studies. The purpose of this study is to understand the factors that influence the attitudes of African-American middle school girls toward computer science. The results reveal that the African-American middle school girls in the sample generally have negative attitudes toward computer science. However, after participating in a computer science intervention, perceptions become more positive due to four factors: engaging in the intervention, the intervention content domain, the facilitation of performance accomplishments, and participant characteristics.
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  • 98
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    Institute of Electrical and Electronics Engineers (IEEE)
    Publication Date: 2016-05-28
    Description: Research on marginalized groups in science, technology, engineering, and mathematics (STEM) commonly overlooks those who persist and succeed, positioning groups such as women of color as passive victims instead of active agents in their own achievements. Focusing on women of color who are successfully staying in STEM, particularly in a field like computer science where women and minorities are severely underrepresented, lets researchers pay attention to the ways the women enact agency. This articles examines the agentic strategies women of color in computing use to ensure their own success. The authors present stories of agency from women of color who describe their approaches for actively persisting in computing. Such approaches include being motivated by challenges and finding inspiration from failure; drawing on unique experiences as marginalized persons; and developing and using "soft"' skills.
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    Topics: Computer Science , Natural Sciences in General , Technology
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  • 99
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    Unknown
    Institute of Electrical and Electronics Engineers (IEEE)
    Publication Date: 2016-05-28
    Description: Advertisement, IEEE.
    Print ISSN: 1521-9615
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    Topics: Computer Science , Natural Sciences in General , Technology
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  • 100
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    Institute of Electrical and Electronics Engineers (IEEE)
    Publication Date: 2016-05-28
    Description: In this article, the authors examine the impact of participation in a national community for broadening participation in computing that engages college students in computing-related service projects. Results of their study show many benefits for undergraduate computing students who engage in such projects, including academic, career, and personal benefits, with students who are underrepresented in computing benefitting more than others. Results also suggest that that an annual conference centered on training and reflection on service learning projects can help build a strong sense of community among students who otherwise wouldn't have access to a similar group of peers. These findings establish empirical support for the Students & Technology in Academia, Research, and Service Computing Corps model of engagement, a flexible approach that can be applied across a variety of institutional types to positively impact underrepresented students in computing.
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