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      • Department of Electrical and Electronics Engineering
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      SAR image reconstruction and autofocus by compressed sensing

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      Author
      Ugur, S.
      Arıkan, Orhan
      Date
      2012-07-24
      Source Title
      Digital Signal Processing: A Review Journal
      Print ISSN
      1051-2004
      Publisher
      Elsevier
      Volume
      22
      Issue
      6
      Pages
      923 - 932
      Language
      English
      Type
      Article
      Item Usage Stats
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      Abstract
      A new SAR signal processing technique based on compressed sensing is proposed for autofocused image reconstruction on subsampled raw SAR data. It is shown that, if the residual phase error after INS/GPS corrected platform motion is captured in the signal model, then the optimal autofocused image formation can be formulated as a sparse reconstruction problem. To further improve image quality, the total variation of the reconstruction is used as a penalty term. In order to demonstrate the performance of the proposed technique in wide-band SAR systems, the measurements used in the reconstruction are formed by a new under-sampling pattern that can be easily implemented in practice by using slower rate A/D converters. Under a variety of metrics for the reconstruction quality, it is demonstrated that, even at high under-sampling ratios, the proposed technique provides reconstruction quality comparable to that obtained by the classical techniques which require full-band data without any under-sampling.
      Keywords
      Autofocus
      Compressed sensing
      Phase error
      SAR
      Total variation
      Under-sampling
      Auto-focus
      Compressive sensing
      Phase error
      SAR
      Total variation
      Under-sampling
      Signal processing
      Synthetic aperture radar
      Image reconstruction
      Permalink
      http://hdl.handle.net/11693/21187
      Published Version (Please cite this version)
      http://dx.doi.org/10.1016/j.dsp.2012.07.011
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      • Department of Electrical and Electronics Engineering 3524
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