Adaptive Processing Algorithm for Distorted Towed Array Sonar Signals

Large aperture towed array sonar has the characteristics of high resolution and long-distance detection. However, during the maneuvering and turning process of the towed platform, the large aperture towed array sonar will undergo bent array distortion, resulting in a mismatch of array guidance vectors, which reduces the signal processing gain of the array and causes deviation in target azimuth estimation. This article proposes an Improved Robust Capon Beamformer(IRCB) algorithm based on subarray adaptive beamforming to estimate array flow patterns during maneuvering and reduce the degree of guidance vector mismatch, thereby solving the problem of ineffective target detection by towed array sonar in platform maneuvering situations.

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Publication Details

Published
2025-03-21
DOI
https://doi.org/10.1109/icsi64877.2025.11009590
Primary Topic
Antenna Design and Optimization
Type
article
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article

Adaptive Processing Algorithm for Distorted Towed Array Sonar Signals

Shibo Jing, Jiaxing Qiu, Kai Ma, Chao Ding
Antenna Design and Optimization
article

Adaptive Processing Algorithm for Distorted Towed Array Sonar Signals

Shibo Jing, Jiaxing Qiu, Kai Ma, Chao Ding
article en

Abstract

Large aperture towed array sonar has the characteristics of high resolution and long-distance detection. However, during the maneuvering and turning process of the towed platform, the large aperture towed array sonar will undergo bent array distortion, resulting in a mismatch of array guidance vectors, which reduces the signal processing gain of the array and causes deviation in target azimuth estimation. This article proposes an Improved Robust Capon Beamformer(IRCB) algorithm based on subarray adaptive beamforming to estimate array flow patterns during maneuvering and reduce the degree of guidance vector mismatch, thereby solving the problem of ineffective target detection by towed array sonar in platform maneuvering situations.

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