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基于数据阵共轭重构的MUSIC角估计算法
引用本文:何子述,黄振兴,向敬成. 基于数据阵共轭重构的MUSIC角估计算法[J]. 电子科技大学学报(社会科学版), 1999, 0(2)
作者姓名:何子述  黄振兴  向敬成
作者单位:成都电子科技大学电子工程学院!610054
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。

关 键 词:多信号分类算法  阵列信号处理  超分辨  信号到达方向估计

A Modified MUSIC Algorithm for Estimation of Angles Based on Re-constructing Data Matrix with Conjugate Data
He Zishu, Huang Zhenxing, Xian Jingcheng. A Modified MUSIC Algorithm for Estimation of Angles Based on Re-constructing Data Matrix with Conjugate Data[J]. Journal of University of Electronic Science and Technology of China(Social Sciences Edition), 1999, 0(2)
Authors:He Zishu   Huang Zhenxing   Xian Jingcheng
Abstract: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.
Keywords:MUSIC algorithm  array singal processing  superresolution  estimating DOA forsingals
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