应用加权子空间稀疏恢复的水声矢量阵测向方法  

Direction-finding method using weighted subspace sparse recovery for the underwater acoustic vector sensor array

作　　者：梁国龙 柳国龙[3] 李赢 郝宇 赵春鹏 LIANG Guolong;LIU Guolong;LI Ying;HAO Yu;ZHAO Chunpeng(National Key Laboratory of Underwater Acoustic Technology,Harbin Engineering University,Harbin 150001;Key Laboratory of Marine Information Acquisition and Security(Harbin Engineering University),Ministry of Industry and Information Technology,Harbin 150001;College of Underwater Acoustic Engineering,Harbin Engineering University,Harbin 150001)

机构地区：[1]哈尔滨工程大学水声技术全国重点实验室,哈尔滨150001 [2]工业和信息化部海洋信息获取与安全工信部重点实验室(哈尔滨工程大学),哈尔滨150001 [3]哈尔滨工程大学水声工程学院,哈尔滨150001

出　　处：《声学学报》2025年第1期86-96,共11页Acta Acustica

基　　金：国家自然科学基金项目(62101153);重点实验室稳定支持课题(JCKYS2021604SSJS003)资助。

摘　　要：针对水下目标的高分辨方位估计问题,提出一种应用加权子空间稀疏恢复的水声矢量阵测向方法。通过估计声压通道和振速通道的噪声功率获得噪声归一化的水声矢量阵数据,利用加权子空间拟合和重加权L_(1)范数最小化技术,精确估计目标方位。该方法通过噪声功率加权和加权子空间稀疏恢复来提高方位分辨能力。仿真结果表明,该方法的分辨能力和估计精度优于多重信号分类方法、基于增广子空间的多重信号分类方法和基于奇异值分解的稀疏重构方法(L_(1)-SVD)。消声水池试验结果进一步验证,在一强一弱目标情况下,该方法的分辨能力优于另外3种方法。The direction-finding method using weighted subspace sparse recovery for the underwater acoustic vector sensor array(UAVSA-WSSR)is proposed in this paper,which can be used for the high-resolution azimuth estimation of underwater targets.The proposed method obtains noise-normalized UAVSA data by estimating the noise power of the pressure channels and the particle velocity channels,and uses weighted subspace fitting and reweighted L_(1)-norm minimization techniques to accurately estimate the azimuths of the targets.The proposed method improves the azimuth resolution performance by noise power weighting and weighted subspace sparse recovery.Simulation results demonstrate that the proposed method performs better than the multiple signal classification(MUSIC)method,the augmented subspace MUSIC(AS-MUSIC)method and the sparse signal reconstruction based on the singular value decomposition(L_(1)-SVD)in terms of resolution and estimation accuracy.Experimental results of the anechoic pool further validate that the resolution of the proposed method is superior to the other three methods in the presence of one strong target and one weak target.

关 键 词：测向 重加权稀疏重构 声矢量阵 高分辨率 

分 类 号：TB566[交通运输工程—水声工程]