矢量水听器改进高分辨Eigenspace算法  

Improved Eigenspace algorithm based on vector hydrophone

作　　者：惠娟 郭嘉宾 宋明翰 张晓亮 李江乔 唐开宇 赵安邦 HUI Juan;GUO Jiabin;SONG Minghan;ZHANG Xiaoliang;LI Jiangqiao;TANG Kaiyu;ZHAO Anbang(Acoustic Science and Technology Laboratory,Harbin Engineering University,Harbin 150001,China;College of Information Science and Technology,Tibet University,Lhasa 850000,China;Key Laboratory of Marine Information Acquisition and Security(Harbin Engineering University),Ministry of Industry and Information Technology,Harbin 150001,China;College of Underwater Acoustic Engineering,Harbin Engineering University,Harbin 150001,China;National Key Laboratory of Science and Technology on Underwater Acoustic Antagonizing,China State Shipbuilding Corporation Systems Engineering Research Institute,Beijing 100036,China)

机构地区：[1]哈尔滨工程大学水声技术重点实验室,黑龙江哈尔滨150001 [2]西藏大学信息科学技术学院,西藏拉萨850000 [3]海洋信息获取与安全工业和信息化部重点实验室(哈尔滨工程大学),黑龙江哈尔滨150001 [4]哈尔滨工程大学水声工程学院,黑龙江哈尔滨150001 [5]中国船舶工业系统工程研究院水声对抗技术实验室,北京100036

出　　处：《哈尔滨工程大学学报》2020年第10期1471-1476,1552,共7页Journal of Harbin Engineering University

基　　金：水声对抗技术国防科技重点实验室开放基金项目(SSDKKFJJ-2018-02-02);水声技术重点实验室稳定支持项目(2020);54所新技术研究高校合作项目课题;声呐技术重点实验室基金项目(614210902011906);国防基础加强计划技术领域基金项目(2020JCJQJJ126).

摘　　要：针对传统高分辨方位谱估计算法在水声低信噪比环境下性能较差,且对相干源的方位估计性能显著下降的问题,本文在Eigenspace算法的基础上,提出了基于声矢量阵声压振速联合处理的Eigenspace-Wiener算法和空间平滑的Eigenspace-Wiener算法。本文将常规Eigenspace算法的推广应用于声矢量阵,采用维纳后置滤波算法,可以有效降低旁瓣;针对相干源,进行空间平滑处理后采用维纳后置滤波算法,可以增强解相干能力且抑制噪声。计算机仿真结果表明:Eigenspace-Wiener算法较Eigenspace算法旁瓣更低;空间平滑Eigenspace-Wiener算法相对于空间平滑MUSIC算法具有良好的相干目标分辨性能。The traditional high-resolution azimuth spectrum estimation algorithm performs poorly at a low signal-to-noise ratio,and the performance of coherent source estimation is also reduced.To solve this problem,we extend the regular Eigenspace algorithm and apply it to the acoustic vector array.To do so,we propose the Eigenspace-Wiener algorithm and the spatial smoothing Eigenspace-Wiener algorithm based on the joint processing of the sound pressure and vibration velocity of the acoustic vector array.Adopting a Wiener post-filtering algorithm effectively reduces the side lobes.For coherent sources,the use of Wiener post-filtering after spatial smoothing enhances the decoherence ability and suppresses noise.The computer simulation results show that the Eigenspace-Wiener algorithm has smaller side lobes than the Eigenspace algorithm and the spatial smoothing Eigenspace-Wiener algorithm has better coherent target resolution performance than the spatial smoothing MUSIC algorithm.

关 键 词：矢量水听器 维纳滤波 空间平滑 Eigenspace算法 声压振速联合处理 方位估计 高分辨 相干 

分 类 号：TN911.72[电子电信—通信与信息系统]