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An Intersection Localization Method for RFI in Multi-Channel SAR Based on Motion Characteristics

  • Northwestern Polytechnical University Xian
  • Shanghai Aerospace Control Technology Institute
  • Shanghai Institute of Satellite Engineering
  • China Aerospace Science and Technology Corporation

Research output: Contribution to journalConference articlepeer-review

Abstract

Radio frequency interference (RFI) poses significant challenges to the earth observation capabilities of synthetic aperture radar (SAR). RFI source localization provides crucial prior information for RFI mitigation and spectrum management. Existing direction of arrival (DOA) estimation algorithms for multi-channel SAR systems face severe ambiguities due to the limitation of the long baseline. To mitigate this issue, this paper proposes an RFI intersection localization method based on phase matching and grid search. It avoids the problem of multiple phase-wrapping and effectively reduces the impact of ambiguity values. The localization accuracy is validated in measured dual-channel SAR data with simulated RFI, which yield only one cluster of points within the valid localization area and achieve high localization accuracy.

Original languageEnglish
Pages (from-to)527-530
Number of pages4
JournalInternational Geoscience and Remote Sensing Symposium (IGARSS)
DOIs
StatePublished - 2025
Event2025 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2025 - Brisbane, Australia
Duration: 3 Aug 20258 Aug 2025

Keywords

  • Multi-Channel
  • Radio Frequency Interference
  • RFI Localization
  • Synthetic Aperture Radar

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