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单矢量水听器多目标方位的盲估计研究
引用本文:肖大为,;程锦房,;张景卓.单矢量水听器多目标方位的盲估计研究[J].武汉理工大学学报(交通科学与工程版),2014(4):775-778.
作者姓名:肖大为  ;程锦房  ;张景卓
作者单位:[1]海军工程大学兵器工程系,武汉430033; [2]海军工程大学理学院物理系,武汉430033
基金项目:国家部委预研基金项目资助(批准号:4010603020301)
摘    要:为实现单矢量水听器的多目标方位估计,研究了水声矢量信号的盲估计问题.根据单矢量水听器的阵列流型特点,结合盲源分离技术,提出了一种新的单矢量水听器多目标方位估计算法.在目标信号先验信息未知的情况下,该算法可分离出各目标信号及其阵列流型,然后利用单矢量水听器振速分量的正交性,估计出各目标信号的方位.实验验证了该算法的有效性.

关 键 词:单矢量水听器  盲源分离  方位估计

Blind Azimuth Estimate for Multi-source Based on Single Vector Hydrophone
Institution:XIAO Dawei, CHENG Jinfang, ZHANG Jingzhuo (1.Department of Weaponry Engineering, Naval University of Engineerin, Wuhan 430033, China;2.Department of Physics, College of Science, Naval University of Engineerin, Wuhan 430033, China)
Abstract:In order to distinguish the multi-source using a single acoustic vector hydrophone,the problem on blind estimate of underwater acoustic vector signal is studied.According to the characteristic of single acoustic vector hydrophone,a new algorithm combining the blind source separation and the technique of single vector hydrophone array is proposed to estimate multi-source.With no priori information,the array manifold is estimated,and the sources are separated.Finally,the azimuths of sources are estimated with the orthogonality of the components of particle velocity.The results of processing data testify the validity of the algorithm.
Keywords:single vector-hydrophone  blind source separation(BSS)  azimuth estimate
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