一种适用于水下距离徙动目标的稳健自适应检测算法

宋 琼; 闫 晟; 郝程鹏; 侯朝焕

doi:10.11993/j.issn.2096-3920.2021.05.004

一种适用于水下距离徙动目标的稳健自适应检测算法

doi: 10.11993/j.issn.2096-3920.2021.05.004

1.
中国科学院声学研究所, 北京, 100190
2.
中国科学院大学电子电气与通信工程学院, 北京, 100049

基金项目: 国家自然科学基金项目资助(61971412)

详细信息

作者简介:
宋琼(1997-), 女, 在读硕士, 主要研究方向为水声信号处理.

中图分类号: TJ630 TN911.7
计量
- 文章访问数: 83
- HTML全文浏览量: 4
- PDF下载量: 23
- 被引次数: 0
出版历程
- 收稿日期: 2021-02-08
- 修回日期: 2021-03-09
- 刊出日期: 2021-10-31

Robust Adaptive Detection Algorithm of Underwater Targets under Range Cell Migration

1.
The Institute of Acoustics of the Chinese Academy of Sciences, Beijing 100190, China
2.
School of Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, China

摘要

摘要: 在水下目标自适应检测中, 目标的高速运动会引起距离徙动(RCM)现象, 从而导致检测性能下降。同时, 由于水下环境的复杂性, 还面临着辅助数据严重不足的问题。为解决以上问题, 文中提出一种新的自适应检测算法, 首先基于模型阶数选择方法, 将声呐回波信号表示为多个时域序列形式, 随后利用对称线阵协方差矩阵的斜对称结构对RCM目标的多元假设检验模型进行改进, 进一步提出基于斜对称广义信息准则自适应匹配滤波(PG-AMF) 检测算法。仿真结果显示, PG-AMF算法降低了对辅助数据的依赖, 能够较为准确地估计出RCM目标回波的分布情况, 进而取得良好的目标检测性能。
- 水下目标 /
- 距离徙动 /
- 自适应检测 /
- 多元假设检验 /
- 声呐
Abstract: The performance of target adaptive detectors decreases owing to range cell migration(RCM), which is caused by a target moving at high speed. When the detection occurs underwater, this environment also results in a lack of auxiliary data. To solve this problem, this study presents a new adaptive detection algorithm. First, the sonar echo is modeled as multiple time-domain sequences based on the model order selection theory. Then, the multiple hypothesis testing model of the target under RCM is improved by using the persymmetric structure of the covariance matrix of the symmetric array. Finally, a new detection algorithm based on the persymmetric generalized information criterion adaptive matched filter(PM-AMF) is developed. Simulation results show that the PM-AMF detection algorithm reduces the dependence on auxiliary data and accurately estimates the position of the target echo under RCM, achieving a good performance on target detection
- underwater target /
- range cell migration /
- adaptive detection /
- multiple hypothesis testing /
- sonar

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