Volume 5 Issue 1
Feb.  2016
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Article Navigation >  Journal of Radars  > 2016  >  5(1): 72-81
Wu Min, Zhang Lei, Liu Songyang, Xing Mengdao. OFDM-ISAR Sparse Optimization Imaging and Motion Compensation[J]. Journal of Radars, 2016, 5(1): 72-81. doi: 10.12000/JR16017
Citation: Wu Min, Zhang Lei, Liu Songyang, Xing Mengdao. OFDM-ISAR Sparse Optimization Imaging and Motion Compensation[J]. Journal of Radars, 2016, 5(1): 72-81. doi: 10.12000/JR16017
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OFDM-ISAR Sparse Optimization Imaging and Motion Compensation

doi: 10.12000/JR16017

  • (Xidian University, Xi'an 710071, China)

Funds:

The National Natural Science Foundation of China (61301280, 61301293), Doctoral Program of Higher Research Fund (20120203130001)

  • Received Date: 2016-01-22
  • Rev Recd Date: 2016-01-31
  • Publish Date: 2016-02-28
    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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    • References(17)
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