Pitfalls and possibilities of radar compressive sensing

被引:8
|
作者
Goodman, Nathan A. [1 ]
Potter, Lee C. [2 ]
机构
[1] Univ Oklahoma, Sch Elect & Comp Engn, Norman, OK 73019 USA
[2] Ohio State Univ, Dept Elect & Comp Engn, Columbus, OH 43210 USA
基金
美国国家科学基金会;
关键词
SPARSE SIGNAL RECONSTRUCTION; STATE-SPACE; ENHANCEMENT; ALGORITHMS; DESIGN; NOISE; DECOMPOSITION; OPTIMIZATION; RECOVERY;
D O I
10.1364/AO.54.0000C1
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
In this paper, we consider the application of compressive sensing (CS) to radar remote sensing applications. We survey a suite of practical system-level issues related to the compression of radar measurements, and we advocate the consideration of these issues by researchers exploring potential gains of CS in radar applications. We also give abbreviated examples of decades-old radio-frequency (RF) practices that already embody elements of CS for relevant applications. In addition to the cautionary implications of system- level issues and historical precedents, we identify several promising results that RF practitioners may gain from the recent explosion of CS literature. (C) 2015 Optical Society of America
引用
收藏
页码:C1 / C13
页数:13
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