基于最小二乘估计的声矢量阵稳健波束形成  

Robust Adaptive Beamforming of Acoustic Vector-sensor Array Based on Least Squares Estimation

作　　者：王燕 吴文峰 梁国龙 

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

出　　处：《兵工学报》2014年第3期379-384,共6页Acta Armamentarii

基　　金：国家自然科学基金项目(51279043;61201411;51209059);海军装备预先研究项目(1011204030104);水声技术国家重点实验室基金项目(9140C200203110C2003);黑龙江省普通高校青年学术骨干支持计划项目(1253G019)

摘　　要：针对存在导向矢量失配和快拍数不足时,声矢量阵标准Capon波束形成器性能急剧下降的问题,提出了一种基于最小二乘估计的声矢量阵稳健波束形成算法。鉴于声矢量阵声压通道和振速通道的导向矢量误差来源不同,分别为声矢量阵声压通道和振速通道设计了广义旁瓣对消器;利用最差性能最优化的思想,将声矢量阵标准Capon波束形成器转化为稳健最小二乘估计问题;利用二阶锥规划求解。仿真分析表明,该算法在抗导向矢量失配、快拍数不足、阵元姿态误差方面均有良好的性能。The performance of Capon beamformer of acoustic vector-sensor array degrades sharply in the presence of array steering vector mismatch. A robust beamforming algorithm based on least squares esti- mation is proposed to solve this problem. Several generalized sidelobe cancellers are designed for acoustic pressure channel and vibration velocity channel in consideration of the different error sources of their steering vectors. The Capon beamformer of acoustic vector-sensor array is converted to a robust least- squares estimation problem based on the principle of worst-case performance optimization. The second-or- der cone programing is adopted to obtain the optimal solution. The simulation results show the efficiency of the proposed algorithm in the cases of steering vector mismatch, snapshot deficiency and sensor attitude error.

关 键 词：信息处理技术 稳健自适应波束形成 声矢量阵 广义旁瓣对消器 最小二乘估计 

分 类 号：TB566[交通运输工程—水声工程]