Radar imaging with compressed sensing

被引:24
|
作者
Harding, Brian J. [1 ]
Milla, Marco [2 ]
机构
[1] Univ Illinois, Dept Elect & Comp Engn, Urbana, IL 61801 USA
[2] Inst Geofis Peru, Radio Observ Jicamarca, Lima, Peru
基金
美国国家科学基金会;
关键词
radar imaging; compressed sensing; INTERFEROMETRY; IRREGULARITIES;
D O I
10.1002/rds.20063
中图分类号
P1 [天文学];
学科分类号
0704 ;
摘要
A novel technique for radar-imaging inversions is proposed which leverages ideas from the emerging field of compressed sensing. This new method takes advantage of the transform sparsity inherent in natural images. Theoretical recovery results are promising and are borne out by simulations in which this technique outperforms Capon's method and the Maximum Entropy method. Preliminary results using data collected at the Jicamarca Radio Observatory are also presented.
引用
收藏
页码:582 / 588
页数:7
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