期刊
IEEE SIGNAL PROCESSING MAGAZINE
卷 33, 期 6, 页码 85-102出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/MSP.2016.2573847
关键词
-
资金
- [MOE2014-T2-1-079]
- [RG103/14]
The exploitation of sparsity has significantly advanced the field of radar imaging over the last few decades, leading to substantial improvements in the resolution and quality of the processed images. More recent developments in compressed sensing (CS) suggest that statistical sparsity can lead to further performance benefits by imposing sparsity as a statistical prior on the considered signal. In this article, a comprehensive survey is made of recent progress on statistical sparsity-based techniques for various radar imagery applications.
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