Recursion Subspace-based Method for Bearing Estimation: A Comparative Study

被引：0
|
作者：
Huang Lei [1 ]
Wu Siliang [1 ]
Mao Erke [1 ]
机构：
[1] Beijing Inst Technol, Beijing 100081, Peoples R China
来源：
CHINESE JOURNAL OF ELECTRONICS | 2010年 / 19卷 / 03期
基金：
中国国家自然科学基金;
关键词：
Bearing estimation; Eigendecomposition (ED); Multistage Wiener filter (MSWF);
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
In many practical applications of sensor array processing, accurate bearing estimation with low complexity is of significant interest. In this paper, we present a Recursion subspace-based method (RSM) to estimate the bearings of incident signals impinging on a Uniform linear array (ULA), and perform the comparison between the RSM method and the signal Subspace method without eigendecomposition (SUMWE). Numerical results are presented to compare the performance the RSM method with that of the SUMWE method.
引用
收藏
页码：477 / 480
页数：4
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