波达方向(DOA)估计是水声阵列信号处理的重要研究方向.由多个矢量水听器组成的传感器网络利用各节点所在位置的声压、质点振速可以实现DOA估计,节点的协同合作能够确定目标声源的位置.本文根据矢量水听器的特点、相关性及DOA算法等理论,仿真分析相关性对DOA算法的影响,并结合实际湖试对节点数据的相关性进行分析处理.由于各节点数据包含严重的噪声,导致其频谱情况很差,处理后节点数据的频谱及节点间的互相关性明显改善,并能有效抑制宽带噪声干扰.结果表明,处理后节点线谱信号突显出来,各节点的互相关性得到了提高,且满足DOA算法对数据相关性的要求,具有一定的工程实用性.

The estimation of Direction of Arrival (DOA) is an important area in the signal processing of hydroacoustical array. A sensor network consisting of multiple vector hydrophones is able to make DOA estimation by using the sound pressure and particle velocity of the location for each node, and the coordination cooperation from every node could determine the location of the target sound source. Based on vector hydrophone characteristics, correlation, and DOA algorithm theory, the influence of correlation on the DOA algorithm is analyzed through the simulation. It is able to improve the frequency spectrum of the nodes data and the cross correlation by analyzing and processing the data of actual lake trial. Since each node data contains the serious noise, as a result, it causes the frequency spectrum situation to become very bad. After data signal processing, the requirements of DOA algorithm on data correlation are met, and the broadband noise interference is able to be effectively inhibited. It is indicated that after the actual data processing, the line spectrum signal of node stands out and the cross correlation of various nodes has been improved. The practicality of the study is proved.