基于声矢量阵的信源数目检测和方位估计算法

Algorithm of High Resolution DOA Estimation and Signals Number Detection Using Vector-Sensor Array

大多数高分辨方位估计算法往往需要估计信源数目或假设已知,本文提出一种基于声矢量阵的信源数目检测和方位估计算法。该算法在解析振速模型的基础上,将基于二阶统计量的盲源分离技术应用于矢量阵数据通道的盲源分离,利用信号与噪声的声压和解析振速之间相关性的差异,依据相关系数评价准则实现信源数目的准确检测和方位估计。计算机仿真试验结果验证了算法的有效性。

For most high resolution DOA estimation algorithm, the number of sources should be known or estimated before. Using the acoustic vector-sensor array, the number of sources and DOA estimation algorithm is proposed in this paper, on which the blind source separation algorithm of second-rank statistic based on the particle velocity mode is extended, and the relativity difference of noise and signal between the pressure and particle velocity also be used. Through using the evaluative principle of relativity coefficient, the results of number of sources and DOA estimation is given, and algorithm is tested correctly by computer simulation finally.