基于矢量阵的自初始化MUSIC方位估计算法

MUSIC空间谱估计突破了常规波束形成中的锐利限,能够对目标进行高精度方位估计.探讨了MUSIC算法在矢量阵上的应用,给出了矢量线阵MUSIC噪声子空间谱估计表达式,利用单个矢量阵元的阵簇估计提供的初始参数,对MUSIC噪声子空间谱进行迭代搜索谱峰实现目标的方位估计,用以提高目标方位估计的精度.对单目标和双目标方位估计进行了仿真研究,在文中的仿真条件下,当满足信噪比大于5dB的条件时,可对目标方位进行较好估计.研究结果表明,通过单个矢量阵元阵簇得出的目标方位估计精度较差,而迭代搜索MUSIC谱峰方法提高了方位估计精度.

Self-initiating MUSIC direction finding based on vector hydrophone array

A high resolution direction of arrival(DOA) estimation can be obtained using a multiple signal characterization(MUSIC) algorithm which overcomes the Rayleigh limitation.In this paper,a MUSIC algorithm based on a vector hydrophone linear array was studied.The expression of MUSIC spatial spectrum based on noise subspace was presented.DOA estimation with higher precision was obtained by iteratively searching the maximum of MUSIC spatial spectrum using the initial parameters which can be obtained by array manifold estimation of single vector hydrophone.Simulation of DOA estimation for a single source and multisources was carried out.A more precise DOA estimation can be obtained when the signal-to-noise ratio(SNR) is above 5 dB at the assumed conditions.The results indicate that DOA estimation can be improved by iteratively searching the maximum of MUSIC spatial spectrum compared with the DOA estimation algorithm based on single vector hydrophone array manifold estimation.