DOA Estimation and Array Registration with Joint Sparse Reconstruction Methods

被引：0
|
作者：
Wiese, Thomas [1 ]
Weiland, Lorenz [1 ]
Utschick, Wolfgang [1 ]
机构：
[1] Tech Univ Munich, Fachgebiet Methoden Signalverarbeitung, D-80290 Munich, Germany
来源：
2015 IEEE 16th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC) | 2015年
关键词：
Direction-of-arrival (DOA) estimation; array calibration; distributed compressed sensing; SIGNAL RECOVERY; POLYNOMIALS;
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：
Two uniform linear arrays with inexactly known relative positions shall be used for coherent direction of arrival estimation. We show that in the narrowband case the estimation of the displacement parameter is well posed if the number of sources is known. Furthermore, we propose a fast registration method that estimates the unknown displacement parameter using a combination of sparse reconstruction algorithms for distributed compressed sensing and Newton's method.
引用
收藏
页码：500 / 504
页数：5
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