A Signal-Subspace-Based ESPRIT-like Algorithm for Coherent DOA Estimation

被引：0
作者：
Xu, Yun-Lin [1 ]
Zhang, Hong-Shun [2 ]
Zhan, Jiang-Shu [3 ]
机构：
[1] Chongqing Commun Coll, Grad Student Team, Chongqing, Peoples R China
[2] Chongqing Commun Coll, Radio spectrum management staff room, Chongqing, Peoples R China
[3] Chongqing Univ, Resource & Environm Sci Coll, Chongqing, Peoples R China
来源：
2009 5TH INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS, NETWORKING AND MOBILE COMPUTING, VOLS 1-8 | 2009年
关键词：
Coherent signal; DOA Estimation; signal subspace; Toeplitz matrix; SVD (singular value decomposition); ESPRIT (Estimation of Signal Parameter via Rotational Invariance Techniques);
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：
To consider the problem of DOA (Direction-Of-Arrival) estimation in coherent environment, the most important issue is to try to eliminate the rank loss of the spatial covariance matrix. In this paper, the influence of coherent signals on the DOA estimation algorithm is analyzed. Then a signal-subspace based ESPRIT-Like algorithm is proposed. In the end, the simulation results demonstrate validity of proposed algorithm.
引用
收藏
页码：2323 / +
页数：2
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