Robust Tugboat Noise Interference Suppression Weighted Method

ZHANG Longen; CHEN Xinhua; ZHENG Enming; SONG Chunnan; HAN Ying

doi:10.12382/bgxb.2025.0293

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Robust Tugboat Noise Interference Suppression Weighted Method

更新时间：2026-04-24

- Robust Tugboat Noise Interference Suppression Weighted Method
- Acta Armamentarii Vol. 47, Issue 2, Pages: 250293(2026)
- 作者机构：
  
  中国科学院声学研究所，北京 100190
  中国科学院大学，北京 100049
  中国科学院先进水下信息技术重点实验室，北京 100190
- 作者简介：
- 基金信息：
- DOI：10.12382/bgxb.2025.0293
  CLC： TB566
- Received：17 April 2025，
  
  Online First：25 December 2025，
  
  Published：28 February 2026
- 稿件说明：
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ZHANG Longen, CHEN Xinhua, ZHENG Enming, et al. Robust Tugboat Noise Interference Suppression Weighted Method[J]. Acta Armamentarii, 2026, 47(2): 250293.
DOI：

ZHANG Longen, CHEN Xinhua, ZHENG Enming, et al. Robust Tugboat Noise Interference Suppression Weighted Method[J]. Acta Armamentarii, 2026, 47(2): 250293. DOI： 10.12382/bgxb.2025.0293.

摘要

拖线阵声纳在探测远程弱目标时会受到拖船噪声的严重干扰，导致该目标信号被淹没于拖船噪声中，无法对其实现有效探测。针对拖船噪声干扰弱目标检测问题，将拖船噪声建模为近场强干扰，构建近场干扰加权矩阵，并在波束形成前对其进行抑制。针对拖船距离和方位信息获取不精确问题，进一步设计鲁棒近场干扰抑制加权矩阵，在参数失配下仍能对拖船噪声抑制和淹没目标检测，提升对参数范围宽容性。数值仿真和海试数据处理结果均表明，与零点约束及干扰阻塞算法等方法相比，在参数失配情况下，新方法还可使拖船噪声产生的背景级相比抑制前降低80 dB以上，保证了拖船噪声干扰抑制纯净度，实现了淹没于拖船噪声中的弱目标检测，提升了拖线阵声纳弱目标检测能力。

Abstract

When detecting distant weak targets

the towed array sonar is severely interfered by the noise from a tugboat

causing the target signal to be submerged in the noise from tugboat and making it impossible to effectively detect the target. In response to the problem of noise from tugboats interfering the detection of weak target

the tugboat noise is modeled as a strong near-field interference

and a near-field interference weighting matrix is constructed to suppresse the near-field interference before beamforming. Then

in response to the problem of inaccurate acquisition of distance and orientation information of tugboats

a robust near-field interference suppression weighting matrix is further designed

which can still suppress the tugboat noise and detect the submerged targets under parameter mismatch

improving the tolerance of parameter range. The processing results of both numerical simulation and sea trial data show that. compared with zero point constraints and interference blocking algorithms

the proposed method can reduce the background level of tugboat noise by more than 80 dB in the case of parameter mismatch

ensuring the purity of tugboat noise interference suppression

achieving the detection of weak target submerged in tugboat noise and improving the capability of towed array sonar detecting the weak target.

关键词

Keywords

references

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