Analysis of sparse MIMO radar

被引：30
|
作者：
Strohmer, Thomas [1 ]
Friedlander, Benjamin [2 ]
机构：
[1] Univ Calif Davis, Dept Math, Davis, CA 95616 USA
[2] Univ Calif Santa Cruz, Dept Elec Eng, Santa Cruz, CA 95064 USA
来源：
APPLIED AND COMPUTATIONAL HARMONIC ANALYSIS | 2014年 / 37卷 / 03期
基金：
美国国家科学基金会;
关键词：
Sparsity; Radar; Compressive sensing; Random matrix; MIMO; SELECTION; MATRICES;
D O I：
10.1016/j.acha.2013.12.005
中图分类号：
O29 [应用数学];
学科分类号：
070104 ;
摘要：
We consider a multiple-input multiple-output radar system and derive a theoretical framework for the recoverability of targets in the azimuth range domain and the azimuth range Doppler domain via sparse approximation algorithms. Using tools developed in the area of compressive sensing, we prove bounds on the number of detectable targets and the achievable resolution in the presence of additive noise. Our theoretical findings are validated by numerical simulations. (C) 2014 Elsevier Inc. All rights reserved.
引用
收藏
页码：361 / 388
页数：28
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