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      Modified Eigensubspace-based Approach for Radio-frequency Interference Suppression of SAR Image

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          Abstract

          Radio-Frequency Interference (RFI) adversely affects useful signals, thereby seriously affecting image quality. In this study, a modified eigensubspace-based approach for radio-frequency interference suppression of Synthetic Aperture Radar (SAR) images is proposed. In the preprocessing stage of our proposed algorithm, RFI detection is conducted in both the frequency and time domains. Subsequently, we can only deal with the data containing the RFI via the traditional eigensubspace-based approach. Compared with the traditional eigensubspace-based approach, our proposed algorithm can function more efficiently and effectively.

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          Author and article information

          Journal
          Journal of Radars
          Chinese Academy of Sciences
          01 April 2018
          : 7
          : 2
          : 235-243
          Affiliations
          [1 ] ①(Institute of Electronics, Chinese Academy of Sciences, Beijing 100190, China) ②(University of Chinese Academy of Sciences, Beijing 100049, China)
          [2 ] ①(Institute of Electronics, Chinese Academy of Sciences, Beijing 100190, China)
          Article
          2353f593b6784f899fc84321ab5ae8b9
          10.12000/JR17025

          This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

          Categories
          Technology (General)
          T1-995

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