稀疏矩阵提取移动目标矢量声强

Sparse matrix extraction for mobile target vector sound intensity

针对声呐主动探测时受界面混响干扰的问题,本文在稀疏矩阵分解理论的基础上,与平均声强器处理相结合,提出了一种适用于强混响环境中的单矢量水听器移动目标回波声强提取方法。利用平均声强器处理矢量水听器接收的多组回波信号,获得矢量声强矩阵。依据界面混响与移动目标回波之间的差异,通过稀疏矩阵分解提取受强混响干扰的目标平均声强。数值仿真和性能分析证明了该方法的有效性,本文方法测量简单,具有较强的实用意义。

To solve the interface reverberation interference problem during active sonar detection,we present a method for extracting the echo intensity of a mobile target with a single hydrophone that is applied to the strong reverberation environment by combining the sparse matrix decomposition theory and average sound intensity approach.A set of echoes received by the vector hydrophone is converted into a sound intensity matrix based on the average intensity method.On the basis of the difference between interface reverberation and mobile target echo,the target sound intensity disturbed by the strong reverberation is extracted through sparse matrix decomposition.The measure is simple and practical.The effectiveness of the method is proven by numerical simulation.