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On adaptive beamforming in correlated noise

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Abstract

This paper deals with the problem of adaptive beamforming in the presence of fully coherent (correlated) noise sources. Two different techniques are developed for minimizing the effects of coherent interference. The first method employs spatial interpolation of the array aperture, followed by spatial smoothing in order to decorrelate the desired signal and the interference. The second technique is based on a simple algebraic transformation for restoring the rank of the array signal correlation matrix, which is normally rank deficient in such situations. This technique is shown to work for nonuniform adaptive arrays as well. Extensive computer simulation results are presented to illustrate the effectiveness of the proposed techniques.

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Authors and Affiliations

  1. Department of Computer Science and Engineering, Indian Institute of Technology, 110 016, New Delhi, India

    Bharat B. Madan

  2. Department of Electrical Engineering, Stanford University, 94305, Stanford, California, USA

    Sydney R. Parker (Visiting Professor, Consultant)

  3. Lawrence Livermore National Laboratory, University of California, 94550, Livermore L156, California, USA

    Sydney R. Parker (Visiting Professor, Consultant)

Authors
  1. Bharat B. Madan
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  2. Sydney R. Parker
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Additional information

This week was supported by the N.R.C., Resident Research Associateship Programme.

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Madan, B.B., Parker, S.R. On adaptive beamforming in correlated noise. Circuits Systems and Signal Process 7, 327–343 (1988). https://doi.org/10.1007/BF01599974

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  • DOI: https://doi.org/10.1007/BF01599974

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