Volume 5 Issue 4
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Article Navigation >  Journal of Radars  > 2016  >  5(4): 444-452
Guo Jiang-zhe, Zhu Dai-yin, Mao Xin-hua. FPGA Implementation of a SAR Two-dimensional Autofocus Approach[J]. Journal of Radars, 2016, 5(4): 444-452. doi: 10.12000/JR15092
Citation: Guo Jiang-zhe, Zhu Dai-yin, Mao Xin-hua. FPGA Implementation of a SAR Two-dimensional Autofocus Approach[J]. Journal of Radars, 2016, 5(4): 444-452. doi: 10.12000/JR15092
shu

FPGA Implementation of a SAR Two-dimensional Autofocus Approach

doi: 10.12000/JR15092
  • 1.

    (College of Electronic & Information Engineering, Nanjing University of Aeronautics & Astronautics, Nanjing 210016, China)

  • 2.

    (Radar Imaging & Microwave Photonics Technology Key Laboratory of Ministry of Education, Nanjing University of Aeronautics & Astronautics, Nanjing 210016, China)

Funds:

Defense Industrial Technology Development Program (B2520110008), A Project Funded by the Priority Academic Program Development of Jiangsu Higher Education Institutions, The Fundamental Research Funds by the Central Universities, The NUAA Fundamental Research Funds (NS2013023)

  • Received Date: 2015-08-06
  • Rev Recd Date: 2015-11-03
  • Publish Date: 2016-08-28
    Abstract
  • For real-time autofocus of defocused images produced by Synthetic Aperture Radar (SAR), the twodimensional autofocus approach proposed in this study is used to correct the residual range cell migration and compensate for the phase error. Next, a block-wise Phase Gradient Autofocus (PGA) is used to correct the space-variant phase error. The Field-Programmable Gate Array (FPGA) design procedures, resource utilization, processing speed, accuracy, and autofocus are discussed in detail. The system is able to autofocus an 8K 8K complex image with single precision within 5.7 s when the FPGA works at 200 MHz. The processing of the measured data verifies the effectiveness and real-time capability of the proposed method.

     

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