RFI SUPPRESSION BASED ON ATOMIC NORM MINIMIZATION IN SAR SIGNAL RECOVERY

被引：0
|
作者：
Liu, Hongqing [1 ]
Gan, Lu [2 ]
Li, Dong [3 ]
Truong, Trieu-Kien [4 ]
机构：
[1] Chongqing Inst Posts & Telecommun, Chongqing Key Lab Mobile Commun Technol, Chongqing, Peoples R China
[2] Brunel Univ, Coll Engn Design & Phys Sci, London, England
[3] Chongqing Univ, Minist Educ, Key Lab Aerocraft Tracking Telemetering & Command, Chongqing 400044, Peoples R China
[4] I Shou Univ, Dept Informat Engn, Kaohsiung 84001, Kaohsiung Count, Taiwan
来源：
2019 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP) | 2019年
基金：
中国国家自然科学基金;
关键词：
RFI suppression; SAR signal recovery; atomic norm; joint estimation;
D O I：
10.1109/icip.2019.8803158
中图分类号：
TB8 [摄影技术];
学科分类号：
0804 ;
摘要：
The recovery problem of synthetic aperture radar (SAR) signal in the presence of radio frequency interference (RFI) is studied. To perform RFI suppression, in this paper, the RFI is modeled as the combination of multiple complex sinusoids such that the RFI suppression problem becomes a frequency estimation one. To accurately estimate model parameters, by exploiting sparse representation of the RFI, a gridless approach based on atomic norm minimization is proposed, which completely removes the off-grid issue. Finally, to recover the SAR signal, a joint scheme is devised to simultaneously perform the RFI suppression and the SAR signal recovery under an optimization framework. The resultant optimization is efficiently solved by a two-step process based on the coordinate descent approach. Simulation results and real-world experiments are provided to show the superior performance of the proposed approach.
引用
收藏
页码：2040 / 2044
页数：5
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