Wideband Interference Mitigation for Synthetic Aperture Radar Data Based on Adaptive Compressed Sampling

被引：0
|
作者：
Li, Guojing [1 ,2 ]
Liu, Guozhu [1 ]
Ye, Wei [2 ]
Kong, Shuya [2 ]
Bo, Yuan [2 ]
机构：
[1] State Key Lab Complex Electromagnet Environm Effe, Luoyang 471003, Peoples R China
[2] Equipment Acad, Beijing 101416, Peoples R China
来源：
PROCEEDINGS OF THE 2017 5TH INTERNATIONAL CONFERENCE ON FRONTIERS OF MANUFACTURING SCIENCE AND MEASURING TECHNOLOGY (FMSMT 2017) | 2017年 / 130卷
关键词：
Synthetic aperture radar; wideband interference mitigation; compressed sensing; adaptive measurement; projection filtering;
D O I：
暂无
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
Wideband interference (WBI) is a threat to synthetic aperture radar because it occupies a large bandwidth and lead to a poor quality of SAR images. This paper presents a method of wideband interference mitigation for SAR imaging based on adaptive compressed sampling. First, an adaptive and compressed measurement, projection filter banks and an interference detector are constructed. Based on minimum output energy criterion, WBI is extracted through joint detection after projected by filter banks and then mitigated through adaptively adjusting the compressed measurement 'away' from the interference positions. The experimental results of the simulated data indicate that the method proposed is effective.
引用
收藏
页码：1603 / 1606
页数：4
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