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Multiple co-frequency sources DOA estimation for coprime vector sensor arrays

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  • Xiao Chen
  • Hao Zhang
  • Zhen Wang
  • Yujie Chen
  • Yong Gao

Abstract

For the problem of direction-of-arrival (DOA) estimation using a coprime array, there are high spatial spectrum outputs of false alarms caused by the overlap of main and grating lobes from subarrays. In this paper, a DOA estimation method of more than two co-frequency sources for a coprime vector hydrophone array is proposed. The method is based on vector cross terms (VCTs), making full use of the directivity of channel combinations for vector hydrophones. Based on VCTs, the characteristic data point identification method is conducted and ensures that the bearing data with the characteristic can be preserved. For further interference rejection, the paper designs Queue Selection (QS) method based on inverse beamforming. The influence of grating lobes can be weakened with the QS, further improving the accuracy of direction extraction. The algorithm in this work does not require decoherence processing, and the simulation work shows that it achieves stable DOA estimation with a low signal-to-noise ratio (SNR).

Suggested Citation

  • Xiao Chen & Hao Zhang & Zhen Wang & Yujie Chen & Yong Gao, 2023. "Multiple co-frequency sources DOA estimation for coprime vector sensor arrays," PLOS ONE, Public Library of Science, vol. 18(5), pages 1-18, May.
    • Handle: RePEc:plo:pone00:0285459
    DOI: 10.1371/journal.pone.0285459
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