文章基本信息

标题：Multiple Signal Estimation Using Weighting Music Algorithm
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作者：Changgan Shu ; Yumin Liu
期刊名称：International Journal of Signal Processing, Image Processing and Pattern Recognition
印刷版ISSN：2005-4254
出版年度：2016
卷号：9
期号：9
页码：147-154
出版社：SERSC
摘要：Subspace partition is a common methodin normal MUSIC algorithm that divides the signal covariance matrix into signal subspace and noise subspace by eigenvalue decomposition. By this method, the effect of environmental noise is curbed. However, when thesignal angle interval becomes smalland the signal-noise ratio reduces, some certain limitations in multiple signal estimation such as loss and confusion will be presented, which means thenormal method of estimation is unable to distinguish those signals we need actually. A modified MUSICalgorithm is proposed in this paper to solve the problem. A modified part in the spatial spectrum called weighting function is introduced. Some weighted operation are given to the steering vectors when the spatial spectrum is formed, making the most of subspaces and there eigenvalues. Some simulations followed are taken to discuss the performace of the modified method. Through the analysis we can see that, under the condition of a small signal angle interval and a low signal-noise ratio, the improved algorithm could achieve satisfactory result for the DOA estimation.
关键词：MUSIC algorithm; weighting function; eigenvalue decomposition