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CN 34-1054/N

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Open AccessOpen Access JUSTC Original Paper

Segmented reconstruction for SAR imaging based on 1-bit compressed sensing

  • 1.

    Department of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei 230027, China

  • 2.

    Key Laboratory of Electromagnetic Space Information, Chinese Academy of Sciences, Hefei 230027, China

Cite this: JUSTC, 2017, 47(10): 848-853
https://doi.org/10.3969/j.issn.0253-2778.2017.10.007
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  • Received Date: September 25, 2016
  • Revised Date: November 29, 2016
  • Published Date: October 30, 2017
    Abstract
  • In Synthetic Aperture Radar (SAR) systems, imaging algorithms based on 1-bit have a great advantage because the echo’s SNR is generally not high. However, those algorithms often require more time than the match filter strategy. A segmented method based on 1-bit compressed sensing was proposed for reducing reconstruction time. Simulation experiments verify the effectiveness of the proposed algorithm. This method can not only reduce time consumption, but also the required memory size. The stepped-frequency waveform is selected not only because it can make sampling easier than other waveforms, but also because it takes less time to recover the same scene when the stepped-frequency waveform is used instead of linear frequency modulation (LFM) waveform.
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