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一种不需要特征值分解的MUSIC方法
引用本文:于红旗,黄知涛,周一宇,徐欣.一种不需要特征值分解的MUSIC方法[J].国防科技大学学报,2007,29(4):91-94.
作者姓名:于红旗  黄知涛  周一宇  徐欣
作者单位:国防科技大学,电子工程学院,湖南,长沙,410073
基金项目:国家自然科学基金资助项目(60502040)
摘    要:MUSIC方法是空间谱估计中经典的子空间方法。提出了一种构造参考信号的预处理模型,提出了一种适合于MUSIC方法的多级维纳滤波结构。新方法避免了采样数据二阶统计的特征值分解,降低了运算量。仿真结果证明了方法的有效性。

关 键 词:阵列信号处理  多级维纳滤波  MUSIC算法  DOA估计
文章编号:1001-2486(2007)04-0091-04
收稿时间:2006/9/18 0:00:00
修稿时间:2006年9月18日

An Improved MUSIC Algorithm without Eigenvalues Decomposition
YU Hongqi,HUANG Zhitao,ZHOU Yiyu and XU Xin.An Improved MUSIC Algorithm without Eigenvalues Decomposition[J].Journal of National University of Defense Technology,2007,29(4):91-94.
Authors:YU Hongqi  HUANG Zhitao  ZHOU Yiyu and XU Xin
Institution:College of Electronic Science and Engineering, National Univ. of Defense Technology, Changsha 410073, China;College of Electronic Science and Engineering, National Univ. of Defense Technology, Changsha 410073, China;College of Electronic Science and Engineering, National Univ. of Defense Technology, Changsha 410073, China;College of Electronic Science and Engineering, National Univ. of Defense Technology, Changsha 410073, China
Abstract:MUSIC algorithm is a classic subspace method for spatial spectrum estimation.In this paper,a pretreatment model is presented to construct the reference signal.The configuration of the multi-stage Wiener filter that is fit for MUSIC algorithm is proposed.Due to avoiding eigenvalue decomposition of the sampling data autocorrelation,the new method has less computational complexity.Simulation results demonstrate the effectiveness of the new method.
Keywords:array signal processing  multi-stage Wiener filter  multiple signal classification algorithm  direction-of-arrival estimation
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