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      ISAR Sparse Aperture Imaging Algorithm for Large Size Target

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          Abstract

          A novel algorithm for larger size target imaging in sparse aperture is presented in this paper for Inverse Synthetic Aperture Radar (ISAR). In the proposed method, azimuth compressing is done in the range frequency domain to avoid Migration Through Range Cell (MTRC), and Compress Sensing (CS) is introduced to take place of FFT to reduce the Peak Side Lobe Ratio (PSLR), meanwhile a basis matrix changing with the range frequency is constructed to eliminate the coupling between range frequency and azimuth time. Simulation results validate the feasibility of the approach.

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          Author and article information

          Journal
          Journal of Radars
          Chinese Academy of Sciences
          01 September 2012
          : 1
          : 3
          : 292-300
          Affiliations
          [1 ] Key Laboratory of Spatial Information Processing and Application System Technology, Chinese Academy of Sciences
          Article
          3c4b62dbb13f497286a37caf94244a2c
          10.3724/SP.J.1300.2012.20033

          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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