RFI Localization Scheme for Dual-Channel SAR System based on Alternating Constraints Optimization

Yifei Liu, Mingliang Tao, Yashi Zhou, Liangbo Zhao, Jia Su, Ling Wang

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

Radio frequency interference (RFI) source localization is essential for providing valuable priori information for RFI mitigation. For synthetic aperture radar (SAR) system, existing RFI localization methods face the challenge of severe localization ambiguity. To deal with this deficiency, this paper studies the mapping relationship between the interferometric phase properties of RFI and the location. It establishes a localization framework with alternating constraints to achieve an unambiguous range and azimuth localization. Finally, the localization accuracy is validated in real dual-channel echo data combined with simulated RFI. Compared to existing localization methods, the proposed approach could achieve azimuth accuracy at the meter level and range accuracy at the kilometer level without ambiguities.

源语言英语
主期刊名IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024
出版商Institute of Electrical and Electronics Engineers Inc.
ISBN(电子版)9798331515669
DOI
出版状态已出版 - 2024
活动2nd IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024 - Zhuhai, 中国
期限: 22 11月 202424 11月 2024

出版系列

姓名IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024

会议

会议2nd IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024
国家/地区中国
Zhuhai
时期22/11/2424/11/24

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