无需信源数目的声矢量阵相干源方位估计算法

针对相干源方位估计问题，本文在PVFS（Particle Velocity Field Smoothing）算法的基础上，提出一种新的算法。该算法通过对PVFS算法构造出的协方差矩阵进行特征值分解，利用得到的特征值及特征向量构造新的噪声子空间，然后运用子空间原理实现相干源的方位估计。该算法无需已知相干源的信源数目且不会损失阵列孔径，具有较好的相干源方位估计性能，计算机仿真结果验证了本文算法的有效性。

Coherent Sources DOA Estimation of Unknown Number of Signals Based on Acoustic Vector Sensor Array

Aiming at the problem of DOA estimation of coherent sources, this paper proposes a new algorithm based on PVFS algorithm. Through the eigenvalue decomposition of the covariance matrix conformed by PVFS algorithm and using eigenvalues and the corresponding eigenvectors to construct new noise subspace, this paper realizes DOA estimation of coherent sources by subspace theory. The algorithm has good DOA estimation performance for coherent sources without knowing number of coherent sources and losing array aperture. The results of computer simulation verify the validity of the algorithm.