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中文核心期刊

Volume 49 Issue 1
Jan.  2024
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QU Songyue, GUO Lianghao, DONG Ge. Direction of arrival estimation method jointing channel randomly shielding and deconvolution for a horizontal array[J]. ACTA ACUSTICA, 2024, 49(1): 1-15. DOI: 10.12395/0371-0025.2022159
Citation: QU Songyue, GUO Lianghao, DONG Ge. Direction of arrival estimation method jointing channel randomly shielding and deconvolution for a horizontal array[J]. ACTA ACUSTICA, 2024, 49(1): 1-15. DOI: 10.12395/0371-0025.2022159
shu

Direction of arrival estimation method jointing channel randomly shielding and deconvolution for a horizontal array

  • 1.

    State Key Laboratory of Acoustics, Institute of Acoustics, Chinese Academy of Sciences　Beijing　100190

  • 2.

    University of Chinese Academy of Sciences　Beijing　100049

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  • PACS: 
    • 43.30  (Underwater sound)
    • 43.60  (Acoustic signal processing)
  • Received Date: November 28, 2022
  • Revised Date: February 02, 2023
  • Available Online: January 04, 2024
    Graphical Abstract
    • Abstract

  • The deconvolved conventional beamforming (dCv) algorithm produces high-energy pseudo-signal characteristics in sidelobe positions when there is a mismatch at the element position. To address this issue, a direction of arrival estimation method jointing channel randomly shielding and deconvolution (RS-DBF) algorithm is proposed. When calculating the weighted vectors in different directions, this method randomly shields a certain number of elements while keeping the array aperture unchanged. This method can maintain the structure of the point spread function dictionary matrix near the diagonal and introduce noise in other areas of the matrix to suppress the generation of pseudo-signal characteristics. Simulations have shown that within the working range, RS-DBF can significantly suppress background energy and improve the peak-to-background contrast of target signals compared to dCv. In addition, the excellent performance of RS-DBF in suppressing background energy and achieving target signal detection is further verified by using SWellEx96 experimental data.

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