强干扰下水下弱目标定位空域矩阵滤波技术  

Spatial Matrix Filtering Technology of Underwater Weak Target Localization with Strong Interference

作　　者：郑胜家[1,2,3,4] 于倍[2,3] 韩东[2,3,5] 李晓[1,3] 张春华[2,3] 

机构地区：[1]中国科学院新疆理化所,新疆乌鲁木齐830011 [2]中国科学院声学研究所,北京100190 [3]中国科学院大学,北京100190 [4]集美大学信息工程学院,福建厦门361021 [5]海军大连舰艇学院通信系,辽宁大连116018

出　　处：《电声技术》2014年第4期49-53,共5页Audio Engineering

基　　金：国家自然科学基金项目(60532040;11374001);海军大连舰艇学院科研发展基金项目(2009032)

摘　　要：针对多传感器阵列的水声信号匹配场处理,提出了三种空域矩阵滤波器设计方法。通过建立三个最优化问题,分别实现了:阻带整体响应误差约束条件下的通带响应误差最小、通带整体响应误差约束条件下的阻带响应最小、通带整体响应误差和阻带整体响应误差加权和最小的滤波器响应效果,推导给出三个最优化问题的最优解。将所设计的空域矩阵滤波器用于仿真数据处理,使用常规Bartlett处理器和MV处理器,实现了在水面强干扰存在情况下的水下弱目标定位。In this paper, three design methods of spatial matrix filter are built for multiple sensors underwater signal matched field processing. Three optimization problems are built, they achieved the effects of： the least passband response er- ror with total stophand response error restriction, the least stopband response error with total passband response error restric- tion, and the least weighed total passband and stopband response error respectively. Three optimal solutions of the optimiza- tions are derived. The designed spatial matrix filter are used in the simulation signal, the underwater weak target are local- ized with surface strong interference by using the general Bartlett processor and MV processor.

关 键 词：空域矩阵滤波器 匹配场处理 弱目标定位 

分 类 号：O427[理学—声学]