阵列的MUSIC算法仿真分析

Simulation and Analysis of MUSIC algorithm for array

多重信号分类(MUSIC)算法,能够实现对DOA的超分辨估计,这一算法的提出促进了特征结构类算法的发展。本文讨论了MUSIC算法的原理,并通过仿真分析了信源角度、相干信号、信噪比、阵元间距对MUSIC算法的影响,同时也指出了MUSIC算法在不同信噪比下的成功概率图和估计偏差图,为进一步研究MUSIC算法提供参考。

Multiple signal classification（MUSIC） algorithm can achieve super-resolution estimation of DOA. It promotes the development of the feature structure algorithm. This paper discusses the principle of MUSIC algorithm, and analyzes various factors affecting on the MUSIC algorithm, such as source angle, coherent signal, signal to noise ratio, array element spacing.Moreover, it points out the successful probability map and estimation deviation map of MUSIC algorithm under different signal to noise ratio, which can provide references for the further study of MUSIC algorithm.