基于四阶累量切片的MUSIC法研究及仿真试验

摘要

波达方向估计方法中,基于子空间的多重信号分类法(MUSIC)有很高的分辨力、估计精度及稳定性,但在高斯色噪声环境下,利用自相关的特征子空间进行处理的MUSIC算法受到很大限制.而基于四阶累量切片的特征子空间的MUSIC算法可以很好地进行处理.仿真表明,该算法在高斯色噪声下,是实现高分辨方位估计的有效方法.%The subspace-based MUSIC algorithm has good resolution capabiliti,estimation precision and stability.But under color Gauss noise, MUSIC use of autocorrelation has bad performance.MUSIC algorithm based on 4-order cumulant slice can deal these problems very well.Computer simulations have been performed to confirm the validity of the theory.