Ground-Based RFI Source Localization via Single-Channel SAR Using Pulse Range Difference of Arrival

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Gepubliceerd in:Remote Sensing vol. 17, no. 4 (2025), p. 588
Hoofdauteur: Wan, Jiaxin
Andere auteurs: Han, Bing, Xiang, Jianbing, Yin, Di, Zhang, Shangyu, He, Jiazhi, Shen, Jiayuan, Feng, Yugang
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022 |a 2072-4292 
024 7 |a 10.3390/rs17040588  |2 doi 
035 |a 3171210701 
045 2 |b d20250101  |b d20251231 
084 |a 231556  |2 nlm 
100 1 |a Wan, Jiaxin  |u Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China; <email>wanjiaxin22@mails.ucas.ac.cn</email> (J.W.); <email>xiangjb@aircas.ac.cn</email> (J.X.); <email>yindi171@mails.ucas.ac.cn</email> (D.Y.); <email>zhangsy01@aircas.ac.cn</email> (S.Z.); <email>hejz@aircas.ac.cn</email> (J.H.); <email>shenjiayuan20@mails.ucas.ac.cn</email> (J.S.); <email>fengyugang21@mails.ucas.ac.cn</email> (Y.F.); Key Laboratory of Technology in Geo-Spatial Information Processing and Application System, Chinese Academy of Sciences, Beijing 100190, China; School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, China; Key Laboratory of Target Cognition and Application Technology, Beijing 100094, China 
245 1 |a Ground-Based RFI Source Localization via Single-Channel SAR Using Pulse Range Difference of Arrival 
260 |b MDPI AG  |c 2025 
513 |a Journal Article 
520 3 |a Radio Frequency Interference (RFI) significantly degrades the quality of spaceborne Synthetic Aperture Radar (SAR) images, and RFI source localization is a crucial component of SAR interference mitigation. Single-station, single-channel SAR, referred to as single-channel SAR, is the most common operational mode of spaceborne SAR. However, studies on RFI source localization for this system are limited, and the localization accuracy remains low. This paper presents a method for locating the ground-based RFI source using spaceborne single-channel SAR echo data. First, matched filtering is employed to estimate the range and azimuth times of the RFI pulse-by-pulse in the SAR echo domain. A non-convex localization model using Pulse Range Difference of Arrival (PRDOA) is established based on the SAR observation geometry. Then, by applying Weighted Least Squares and Semidefinite Relaxation, the localization model is transformed into a convex optimization problem, allowing for the solution of its global optimal solution to achieve RFI source localization. Furthermore, the error analysis on the PRDOA localization model is conducted and the Cramér–Rao Lower Bound is derived. Based on the simulation platform and the SAR level-0 raw data of Gaofen-3, we conduct several verification experiments, with the Pulse Time of Arrival localization selected for comparison. The results demonstrate that the proposed method achieves localization accuracy with a hundred-meter error in azimuth and a kilometer-level total error, with the total localization errors reduced to approximately 1/4 to 1/3 of those of the Pulse Time of Arrival method. 
653 |a Lower bounds 
653 |a Accuracy 
653 |a Simulation 
653 |a Cramer-Rao bounds 
653 |a Radio frequency 
653 |a Convexity 
653 |a Synthetic aperture radar 
653 |a Optimization 
653 |a Convex analysis 
653 |a Error analysis 
653 |a Methods 
653 |a Algorithms 
653 |a Localization 
653 |a Azimuth 
653 |a Radar imaging 
653 |a Satellites 
653 |a Radio frequency interference 
653 |a Radiation 
653 |a Parameter estimation 
700 1 |a Han, Bing  |u Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China; <email>wanjiaxin22@mails.ucas.ac.cn</email> (J.W.); <email>xiangjb@aircas.ac.cn</email> (J.X.); <email>yindi171@mails.ucas.ac.cn</email> (D.Y.); <email>zhangsy01@aircas.ac.cn</email> (S.Z.); <email>hejz@aircas.ac.cn</email> (J.H.); <email>shenjiayuan20@mails.ucas.ac.cn</email> (J.S.); <email>fengyugang21@mails.ucas.ac.cn</email> (Y.F.); Key Laboratory of Technology in Geo-Spatial Information Processing and Application System, Chinese Academy of Sciences, Beijing 100190, China; School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, China; Key Laboratory of Target Cognition and Application Technology, Beijing 100094, China 
700 1 |a Xiang, Jianbing  |u Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China; <email>wanjiaxin22@mails.ucas.ac.cn</email> (J.W.); <email>xiangjb@aircas.ac.cn</email> (J.X.); <email>yindi171@mails.ucas.ac.cn</email> (D.Y.); <email>zhangsy01@aircas.ac.cn</email> (S.Z.); <email>hejz@aircas.ac.cn</email> (J.H.); <email>shenjiayuan20@mails.ucas.ac.cn</email> (J.S.); <email>fengyugang21@mails.ucas.ac.cn</email> (Y.F.); Key Laboratory of Technology in Geo-Spatial Information Processing and Application System, Chinese Academy of Sciences, Beijing 100190, China 
700 1 |a Yin, Di  |u Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China; <email>wanjiaxin22@mails.ucas.ac.cn</email> (J.W.); <email>xiangjb@aircas.ac.cn</email> (J.X.); <email>yindi171@mails.ucas.ac.cn</email> (D.Y.); <email>zhangsy01@aircas.ac.cn</email> (S.Z.); <email>hejz@aircas.ac.cn</email> (J.H.); <email>shenjiayuan20@mails.ucas.ac.cn</email> (J.S.); <email>fengyugang21@mails.ucas.ac.cn</email> (Y.F.); Key Laboratory of Technology in Geo-Spatial Information Processing and Application System, Chinese Academy of Sciences, Beijing 100190, China; School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, China; Key Laboratory of Target Cognition and Application Technology, Beijing 100094, China 
700 1 |a Zhang, Shangyu  |u Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China; <email>wanjiaxin22@mails.ucas.ac.cn</email> (J.W.); <email>xiangjb@aircas.ac.cn</email> (J.X.); <email>yindi171@mails.ucas.ac.cn</email> (D.Y.); <email>zhangsy01@aircas.ac.cn</email> (S.Z.); <email>hejz@aircas.ac.cn</email> (J.H.); <email>shenjiayuan20@mails.ucas.ac.cn</email> (J.S.); <email>fengyugang21@mails.ucas.ac.cn</email> (Y.F.); Research Department of Cyber-Electromagnetic Space Information Technology, Chinese Academy of Sciences, Beijing 100094, China 
700 1 |a He, Jiazhi  |u Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China; <email>wanjiaxin22@mails.ucas.ac.cn</email> (J.W.); <email>xiangjb@aircas.ac.cn</email> (J.X.); <email>yindi171@mails.ucas.ac.cn</email> (D.Y.); <email>zhangsy01@aircas.ac.cn</email> (S.Z.); <email>hejz@aircas.ac.cn</email> (J.H.); <email>shenjiayuan20@mails.ucas.ac.cn</email> (J.S.); <email>fengyugang21@mails.ucas.ac.cn</email> (Y.F.); Research Department of Cyber-Electromagnetic Space Information Technology, Chinese Academy of Sciences, Beijing 100094, China 
700 1 |a Shen, Jiayuan  |u Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China; <email>wanjiaxin22@mails.ucas.ac.cn</email> (J.W.); <email>xiangjb@aircas.ac.cn</email> (J.X.); <email>yindi171@mails.ucas.ac.cn</email> (D.Y.); <email>zhangsy01@aircas.ac.cn</email> (S.Z.); <email>hejz@aircas.ac.cn</email> (J.H.); <email>shenjiayuan20@mails.ucas.ac.cn</email> (J.S.); <email>fengyugang21@mails.ucas.ac.cn</email> (Y.F.); Key Laboratory of Technology in Geo-Spatial Information Processing and Application System, Chinese Academy of Sciences, Beijing 100190, China; School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, China 
700 1 |a Feng, Yugang  |u Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China; <email>wanjiaxin22@mails.ucas.ac.cn</email> (J.W.); <email>xiangjb@aircas.ac.cn</email> (J.X.); <email>yindi171@mails.ucas.ac.cn</email> (D.Y.); <email>zhangsy01@aircas.ac.cn</email> (S.Z.); <email>hejz@aircas.ac.cn</email> (J.H.); <email>shenjiayuan20@mails.ucas.ac.cn</email> (J.S.); <email>fengyugang21@mails.ucas.ac.cn</email> (Y.F.); Key Laboratory of Technology in Geo-Spatial Information Processing and Application System, Chinese Academy of Sciences, Beijing 100190, China 
773 0 |t Remote Sensing  |g vol. 17, no. 4 (2025), p. 588 
786 0 |d ProQuest  |t Advanced Technologies & Aerospace Database 
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