【摘要】 针对冲击噪声背景下的动态DOA估计问题,提出了一种锁定跟踪思想及其实现公式,并对粒子群算法进行改进,研究了基于最大似然算法的动态DOA估计方法。该方法在避免分数低阶矩矩阵重复分解的同时,有效降低了多维搜索的计算量,并且具有良好的跟踪性能。仿真实验结果表明该方法的有效性。更多还原

【Abstract】 A new improvement was provided on a particle swarm optimization algorithm based on the idea of locking and tracking,and a new method based on the maximum likelihood algorithm for dynamic direction-of-arrival (DOA) estimation under impulsive noise environments was studied.This method can avoid the decompositions of the fractional lower order moments matrix which should be repeated in the methods based on subspace tracking,and perform better than the methods based on subspace tracking in the aspect of tracking precision.In addition the cost of the multidimensional search can be mostly reduced.更多还原