摘要
针对相关信号空间平滑算法中阵列孔径损失的问题,提出了一种有效的去相关算法。该算法将直接数据快拍及其共轭反置矩阵构造一新的矩阵,通过对原数据矩阵和新矩阵的协方差矩阵的奇异值分解,再采用MUSIC算法对相关信号进行DOA估计,没有阵列孔径损失。仿真实验通过与MMUSIC算法和ISM算法及CSM算法相比较,验证了该算法的有效性。
An effective method is proposed for the problem of the array aperture loss in the spatial smoothing algerithm against coherent signals.It constructs a new matrix by the direct data snapshots and its conjugate inversion and gets the singular value decomposition of covariance matrix of the original data and the new matrix ,then the DOA of coherent signals are estimated by the conventional MUSIC without the aperture loss. Compared with the MMUSIC,ISM and CSM algorithms, the simulation results demonstrate the effectiveness of the method.
出处
《微计算机信息》
2009年第22期197-199,共3页
Control & Automation
基金
基金申请人:丛玉良
项目名称:宽带相关信号的波达方向(DOA)估计
基金颁发部门:吉林省科技厅(20080520)
关键词
波达方向
相关
快拍
反置矩阵
空间平滑
DOA
coherent
snapshot
inversion matrix
spatial smoothing