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      Compressed Sensing Imaging Algorithm for High-squint SAR Based on NCS Operator

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          Abstract

          A novel compressed sensing imaging algorithm for high-squint Synthetic Aperture Radar (SAR) based on a Nonlinear Chirp-Scaling (NCS) operator is proposed. First, the echo signal of high-squint SAR is analyzed, and a novel imaging method based on the Nyquist-sampled echo signal is proposed. With the proposed method, the range migration is corrected and the coupling problem in the range and azimuth directions is solved. Then, to solve the problem of high-squint SAR imaging using undersampled echo signals, the NCS operator and compressed sensing algorithm based on this operator are constructed. Imaging results are obtained by solving an optimization problem. The proposed method can recover a sparse scene using undersampled echo data. Furthermore, it can recover a nonsparse scene using fully sampled data. Finally, simulations show the effectiveness of the proposed method.

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          Author and article information

          Journal
          Journal of Radars
          Chinese Academy of Sciences
          01 February 2016
          : 5
          : 1
          : 16-24
          Affiliations
          [1 ] China Satellite Maritime Tracking and Control Department, Institute of Information and Navigation, Air Force Engineering University
          [2 ] Institute of Information and Navigation, Air Force Engineering University
          Article
          d5babb6f136540a3ae27b473fc92f05d
          10.12000/JR15035

          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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