声矢量阵波束域宽带聚焦MUSIC算法

和阵元域处理相比，波束域处理具有计算量小，分辨信噪比门限低的优点．同时，声矢量传感器拾取了更多的声场信息，联合处理这些信息可以提高声呐的性能．把声压阵的波束域高分辨算法的思想和相干子空间方法(CSM)的思想引入到声矢量阵列信号处理，在Michael Zoltowsk提出的矢量阵的数学模型的基础上推导出了声矢量阵波束域宽带聚焦MUSIC算法，并作了计算机仿真研究，仿真的结果表明：基于矢量阵的波束域宽带聚焦MUSIC、算法无论是在分辨信噪比门限还是在角度分辨能力上都要优于声压阵波束域宽带聚焦MUSIC算法，而二者的计算量相当，和矢量阵阵元域宽带聚焦MUSIC算法相比，矢量阵波束域处理的计算量要远远小于阵元域处理。

Acoustic vector array beam-space broadband focused MUSIC algorithm

Operation in beam-space offers a number of advantages over operation in element space, including reduced computational complexity, lower SNR resolution thresholds and more robust. The vector hydrophone provides more information of sound field, processing the pressure information and vector information jointly can enhance the performance of sonar system. The idea of operation in beam-space and coherent subspace method (CSM) were introduced into acoustic vector array signal processing. Based on the vector array model built by Michael Zoltowsk,a new algorithm of acoustic vector array beam-space broadband-focused MUSIC was derived. Computer simulation results indicate that the acoustic vector beam-space broadband focus MUSIC algorithm was superior both in signal_to_noise rotio(SNR) resolution threshold and in angle resolution to pressure beam-space broadband-focus MUSIC, but they almost have the same computational complexity. The new method also works much more efficiently than that in element space.