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

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.

Authors

Institutions

Publication Details

Published
2024-11-22
DOI
https://doi.org/10.1109/icsidp62679.2024.10868155
Citations
2
Primary Topic
Advanced SAR Imaging Techniques
Type
article
Field-Weighted Citation Impact
2.60

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Jia Su, Liangbo Zhao, Yuexian Wang, Yashi Zhou et al.
2 citations
Advanced SAR Imaging Techniques
2.60
article

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

Jia Su, Liangbo Zhao, Yuexian Wang, Yashi Zhou, Mingliang Tao, Yifei Liu
article en
2 citations

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.

Northwestern Polytechnical University (CN), China Academy of Space Technology (CN)
National Natural Science Foundation of China, Innovation Fund
Openalex Percentile: Top 7%
Advanced SAR Imaging Techniques
2.60
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.