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拖曳线列阵声呐平台噪声的空域矩阵滤波抑制技术
引用本文:韩东,李建,康春玉,黄海宁,李启虎.拖曳线列阵声呐平台噪声的空域矩阵滤波抑制技术[J].声学学报,2014,39(1):27-34.
作者姓名:韩东  李建  康春玉  黄海宁  李启虎
作者单位:1. 中国科学院声学研究所 北京 100190;
基金项目:国家自然科学基金(60532040,11374001);海军大连舰艇学院科研发展基金资助
摘    要:针对拖曳线列阵声呐平台噪声构成近场强干扰影响声呐弱目标探测的问题,利用近场平台噪声的多途传播特性,将匹配场定位技术和平面波目标方位估计技术结合,使用平台噪声到达接收阵的拷贝向量以及平面波方向向量共同设计平台噪声零响应约束空域矩阵滤波器,实现了平台噪声抑制.推导得出滤波器设计最优化问题的最优解,利用广义奇异值分解简化最优解表达式,并给出滤波器对平面波方向向量整体响应误差以及对平台噪声拷贝向量响应。利用平台噪声拷贝向量与远场平面波方向向量相关性,解释了平台噪声构成强干扰的原因,以及滤波后存在探测盲区的原因。由仿真可知,空域矩阵滤波处理可获得更小的探测盲区,同时获得盲区外更高的探测能力. 

关 键 词:滤波器  辐射噪声  波束形成  平面波  矩阵  目标方位估计  拖曳线列阵  空域  平台  广义奇异值分解
收稿时间:2012-09-24

Towed line array sonar platform noise suppression based on spatial matrix filtering technique
Institution:1. Institute of Acoustics, Chinese Academy of Sciences Beijing 100190;2. Department of Communication Engineering, Dalian Naval Academy Dalian 116018;3. University of Chinese Academy of Sciences Changzhou 213022;4. College of IOT Engineering, Hohai University Beijing 100049
Abstract:The spatial matrix filter is designed and used to solve the problem that the weak target is influenced by the strong nearby platform interference of towed line array sonar. The matched field processing technique and the direction of arrival estimation technique were combined together by using of the sea sound propagation characteristics. The spatial matrix filter with platform noise zero response was designed by the copy vector of the nearby platform noise and the bearing vector of distant plan wave transferred to the array together. The optimal solution of the spatial matrix filter design problem was deduced directly and was simplified by the generalized singular value decomposition. The total response of plan wave bearing vector and the total response of platform noise copy vector were given. The phenomena that strong interferences exist in the bearing course and the bland areas exist after using the spatial matrix filtering technique were explained by the relativities between the platform copy vector and the plan wave bearing vector. It can be found by simulations that less bland area and higher detect ability can be achieved with spatial matrix filter processing. 
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