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

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

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.

Original languageEnglish
Title of host publicationIEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798331515669
DOIs
StatePublished - 2024
Event2nd IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024 - Zhuhai, China
Duration: 22 Nov 202424 Nov 2024

Publication series

NameIEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024

Conference

Conference2nd IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024
Country/TerritoryChina
CityZhuhai
Period22/11/2424/11/24

Keywords

  • Channel Cancellation
  • Dual-Channel SAR
  • Interferometric Phase
  • RFI Localization

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