基于CS和随机声呐阵列的水下目标方位估计

张红梅; 陈明杰; 刘洪丹; 孙希威

doi:10.11993/j.issn.2096-3920.2018.06.013

基于CS和随机声呐阵列的水下目标方位估计

doi: 10.11993/j.issn.2096-3920.2018.06.013

哈尔滨工程大学自动化学院, 黑龙江哈尔滨, 150001

详细信息

作者简介:
张红梅(1973-), 女, 博士, 副教授, 主要研究方向为信号处理、导航技术及随机系统滤波技术.

中图分类号: TJ630.34; U674.941; TB566
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出版历程
- 刊出日期: 2018-12-31

Underwater Target Azimuth Estimation Based on CS and Random Sonar Array

College of Automation, Harbin Engineering University, Harbin 150001, China

摘要

摘要: 针对线性被动声呐的水下目标方位估计问题, 考虑到水下目标的方位相对于所有可能的探测方位是稀疏的这一事实, 采用压缩感知(CS)技术设计目标的方位估计方法。依据CS理论中的互不一致性(MIP)条件, 构造了一种阵元稀疏且随机分布的线列阵声呐结构。对以上设计的方位估计方法和声呐阵列信号进行了仿真。仿真结果表明, 采用稀疏随机声呐阵列, 并结合基于CS的目标方位估计方法, 不仅能够在水下低信噪比的情况下准确分辨空间方位集中的多个目标, 而且能够在目标源信号相干的情况进行准确的方位分辨。
- 水下目标 /
- 方位估计 /
- 压缩感知 /
- 随机声呐阵列
Abstract: The problem of underwater target azimuth estimation of linear passive sonar is studied. For the data processing algorithm, considering the fact that the underwater target’s orientation relative to all possible detection directions is sparse, the compressive sensing(CS) technology is adopted to design a method for estimating the underwater target azimuth. As for the structure of linear sonar, according to the mutual incoherence property(MIP) condition in CS theory, a kind of linear sonar array with sparse and randomly distributed elements is constructed. Simulation results show that the designed sonar array, combined with the target azimuth estimation method based on CS, can accurately identify the targets with concentrated spatial orientation in the condition of low signal-to-noise ratio underwater, and the targets with coherent source signal.
- underwater target /
- azimuth estimation /
- compressive sensing(CS) /
- random sonar array

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参考文献(11)

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