基于解相干的改进MUSIC算法DOA估计  

DOA Estimation of Improved MUSIC Algorithm Based on Decorrelation Signal

作　　者：周小军[1] 谭薇[1] 冯大政[2] 杨能勋[3] 

机构地区：[1]甘肃工业职业技术学院,甘肃天水741025 [2]西安电子科技大学雷达信号处理国家重点实验室,陕西西安710071 [3]延安大学物理与电子信息学院,陕西延安716000

出　　处：《无线电工程》2014年第12期18-21,共4页Radio Engineering

基　　金：国家教育体制改革试点项目(08-128-238)

摘　　要：MUSIC算法是一种子空间分解算法。在非相干的情况下,经典MUSIC算法能准确进行波达方向(DOA)估计,但当信号源在相干的情况下时算法失效。在对经典MUSIC算法进行理论分析研究的基础上,对其阵元接收数据阵做相应变换,得到共轭重构后的协方差矩阵,通过特征值分解再进行DOA估计。就经典的MUSIC和改进算法的DOA估计性能进行了仿真分析。结果表明,改进后的算法在信号源相干的情况下也能精确地估计信号的波达方向。MUSIC algorithm is a kind of subspace decomposition algorithm. For decorrelation signals,classical MUSIC algorithm can accurately estimate the DOA,but for correlation signals,it doesn＇t work. Based on a theoretical analysis and study on the classical MUSIC algorithm,a corresponding transformation is performed for the received data matrix,then the covariance matrix after conjugate reconstruction is obtained,and the DOA is estimated through eigenvalue decomposition. By simulation,the DOA estimation performance of the improved algorithm and the classical MUSIC is analyzed. The results show that even for correlation signals,the improved algorithm can accurately estimate the DOA.

关 键 词：MUSIC算法 波达方向估计DOA 共轭重构 相干信号 

分 类 号：TP212[自动化与计算机技术—检测技术与自动化装置]