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      OFDM-ISAR Sparse Optimization Imaging and Motion Compensation

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          Abstract

          Orthogonal Frequency Division Multiplexing (OFDM) technology has been utilized in radar imaging to obtain high-resolution range profiles without inter-range cell interference. In this study, we establish a novel algorithm for Inverse Synthetic Aperture Radar (ISAR) imaging of a non-cooperative target using OFDM waveforms. We also achieve motion compensation and image enhancement with sparse reconstruction optimization. Utilizing sparse reconstruction optimization, we can simultaneously achieve high-precision OFDM-ISAR imaging and also correct phase errors. Extensive experimentation confirms that the proposed method can effectively overcome range interference and phase errors in OFDM-ISAR imaging, providing optimal robustness and precision.

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          Author and article information

          Journal
          Journal of Radars
          Chinese Academy of Sciences
          01 February 2016
          : 5
          : 1
          : 72-81
          Affiliations
          [1 ] Xidian University
          Article
          f197b016b9144b1692a9bf792a19742a
          10.12000/JR16017

          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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