基于多级维纳滤波器的声矢量阵空间谱估计算法

针对传统的声矢量阵高分辨空间谱估计（来波方向估计）算法运算量大、不易于工程实现的问题，提出一种基于多级维纳滤波器(MSWF)的声矢量阵快速来波方向估计算法，即V-MSWF算法，选取声矢量阵参考阵元声压通道的输出作为期望信号，通过MSWF的递推运算得到信号子空间。通过计算机仿真及消声水池实验对V-MSWF算法的性能进行了验证。结果表明，V-MSWF算法无需计算阵列协方差矩阵及特征值分解运算，在高信噪比条件下，具有良好的来波方向估计性能。

DOA Estimation of Acoustic Vector Sensor Array Based on Multi-stage Wiener Filter

Traditional high-resolution DOA estimation algorithm for acoustic vector sensor array(AVSA) is computational intensive and difficult to realize in engineering. To solve this problem, a fast DOA estimation algorithm based on MSWF is proposed, which is also called V-MSWF. V-MSWF algorithm selects an output from sound pressure channel of reference array element of AVSA as its desired signal. The signal subspace can be achieved by MSWF recursively. V-MSWF algorithm does not need to calculate cross-covariance matrix and eigen-decomposition. It has a good performance for DOA estimation at high SNR. Computer simulation and experiment in anechoic water tank show the favorable performance of V-MSWF algorithm.