矢量线阵MUSIC算法抗空间混叠性能研究

利用矢量线阵可以提高对目标参数估计的性能，探讨了矢量线阵MUSIC算法的抗左右舷模糊性能和抗空间混叠性能。理论研究和外场试验结果表明，矢量线阵消除了声压线阵MUSIC方位谱的左右舷模糊，在阵元个数保持不变的条件下，空间降采样时，矢量线阵MUSIC空间谱不仅提高了方位估计的精度，而且能够抗空间混叠，在相同的条件下．矢量线阵MUSIC空间谱的抗空间混叠性能明显优于矢量阵常规波束形成方法。

Research on the performance of suppressing grating lobes of MUSIC algorithm for uniformly linear vector-hydrophone array

The performance of parameter estimation of underwater targets can be improved by using vector-hydrophone array. The ability of removing the DOA estimation ambiguity and suppressing grating lobes are analyzed based on vector hydrophone linear array. The theoretical results and expel_mental results show that the DOA estimation ambiguity lying in the pressurehydrophone linear array can be removed by using vector-hydrophone linear array. The resolution of DOA estimation can be improved when the wavefield is de-sampled with MUSIC algorithm, and the grating lobes can be suppressed. The ability of suppressing grating lobes of MUSIC algorithm is better than that of conventional beamforming based on vector-hydrophone linear array.