摘要
介绍了一种利用接收数据及其共轭重构得到新的数据矩阵，然后借助于数据阵奇异值分解实现的修正MUSIC算法，并指出了这将有助于改善协方差矩阵特征值的分布，从而提高信号到达方向（DOA）的估计性能。在相同的信噪比和快拍数条件下，该方法无论是在角估计的均方误差、信号源角分辨能力等方面均优于普通的MUSIC算法，并给出了验证理论分析的计算机仿真结果。
This paper gives a modified MUSIC (MMUSIC) algorithm based on the singularity decomposition of the data matrix which is re-constructed by the received data and their conjugatings. This method can change the eigenvalue distributions of the covariance matrix and improve the performances of the signal DOA estimation. With the same SNR and snapshot number, the performances of MMLISIC algorithm are better than that of MUSIC algorithm not only in the estimation of DOA of singals, but also in the resolution of the arrival angle for singals. Finally, the simulation results confirming the theoretical analysis are presented.
出处
《电子科技大学学报》
EI
CAS
CSCD
北大核心
1999年第2期111-115,共5页
Journal of University of Electronic Science and Technology of China
基金
电子部预研基金
