An Automatic Detection Algorithm Based on Wideband Spatial Spectrum of Passive Sonar

Song LIU; Zhixiang YAO; Daiqiang LU; Jun YUAN

doi:10.12382/bgxb.2022.0170

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An Automatic Detection Algorithm Based on Wideband Spatial Spectrum of Passive Sonar

更新时间：2025-08-18

- An Automatic Detection Algorithm Based on Wideband Spatial Spectrum of Passive Sonar
- Acta Armamentarii Vol. 44, Issue 6, Pages: 1764-1774(2023)
- 作者机构：
  
  海军工程大学电子工程学院, 湖北武汉 430000
- 作者简介：
- 基金信息：
- DOI：10.12382/bgxb.2022.0170
  CLC：
- Received：17 March 2022，
  
  Published Online：19 July 2023，
  
  Published：30 June 2023
- 稿件说明：
移动端阅览
Song LIU, Zhixiang YAO, Daiqiang LU, et al. An Automatic Detection Algorithm Based on Wideband Spatial Spectrum of Passive Sonar[J]. Acta Armamentarii, 2023, 44(6): 1764-1774.
DOI：

Song LIU, Zhixiang YAO, Daiqiang LU, et al. An Automatic Detection Algorithm Based on Wideband Spatial Spectrum of Passive Sonar[J]. Acta Armamentarii, 2023, 44(6): 1764-1774. DOI： 10.12382/bgxb.2022.0170.

摘要

被动声呐宽带目标检测中

基于固定门限的检测不能适应波动背景、对强弱目标共存场景检测时易检出旁瓣或漏检弱目标

此外检测结果中目标占据多个波束易使精确测向产生引导波束选取偏差。针对上述问题

基于宽带空间谱

将排序截断平均算法、局部峰值检测和波束内插算法结合

通过理论和蒙特卡洛实验分析对门限估计值有影响的参数

设计参数自动选取方案

形成检测门限自适应方法及自动检测与精确测向一体化方案。仿真与海试实验结果验证了所提算法的有效性

有较强工程应用价值。

Abstract

In passive sonar boardband target detection

detection based on the fixed threshold cannot adapt to the fluctuating background

and it is easy to detect sidelobes or miss weak targets when detecting strong and weak targets coexisting in the scenario. In addition

the targets occupying multiple beams in the detection results can easily generate beam selection bias for accurate direction finding. To solve these problems

the broadband spatial spectrum is used as the test statistic

and the sorted truncation average algorithm

local peak detection and beam interpolation algorithm are combined. Through theoretical and Monte Carlo experiments

the parameters affecting the estimated threshold value are analyzed

and an automatic parameter selection scheme is designed. A detection threshold adaptive method and an integrated scheme of automatic detection and accurate direction finding are developed. The simulations and sea trials have verified the effectiveness of the proposed algorithm and have strong engineering application value.

关键词

Keywords

references

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