SPARSE SPECTRAL FITTING FOR DIRECTION OF ARRIVAL AND POWER ESTIMATION

被引：16
|
作者：
Zheng, J. [1 ]
Kaveh, M. [1 ]
Tsuji, H. [2 ]
机构：
[1] Univ Minnesota, Dept Elect & Comp Engn, Minneapolis, MN 55455 USA
[2] Natl Inst Informat & Commun Technol NICT, New Generat Wireless Commun Res Ctr, Yokosuka, Kanagawa, Japan
来源：
2009 IEEE/SP 15TH WORKSHOP ON STATISTICAL SIGNAL PROCESSING, VOLS 1 AND 2 | 2009年
关键词：
direction-finding; sparsity; high-resolution; power estimation; UNCERTAINTY PRINCIPLES; SIGNAL RECONSTRUCTION; RECOVERY;
D O I：
10.1109/SSP.2009.5278548
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 this paper, we present a sparse spatial spectrum estimation method which provides superresolution direction-finding performance and accurate signal power estimation simultaneously. Compressive sensing ideas are used in conjunction with a postulated model for the covariance matrix of the array output instead of the output itself. Following a preliminary analysis of the method and a geometric interpretation of the estimation process, simulation examples are presented to illustrate several performance characteristics of the technique.
引用
收藏
页码：429 / +
页数：2
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