Volume 11 Issue 1
Feb.  2022
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Article Navigation >  Journal of Radars  > 2022  >  11(1): 1-19
HUANG Yinli, SUN Lu, GUO Liang, et al. Ship detection algorithm based on spatially variant apodization sidelobe suppression and order statistic-constant false alarm rate[J]. Journal of Radars, 2020, 9(2): 335–342. doi: 10.12000/JR19082
Citation: QIU Xiaolan, JIAO Zekun, YANG Zhenli, et al. Key technology and preliminary progress of microwave vision 3D SAR experimental system[J]. Journal of Radars, 2022, 11(1): 1–19. doi: 10.12000/JR22027
shu

Key Technology and Preliminary Progress of Microwave Vision 3D SAR Experimental System

DOI: 10.12000/JR22027
  • 1.

    National Key Lab of Microwave Imaging Technology, Beijing 100190, China

  • 2.

    Key Laboratory of Intelligent Aerospace Big Data Application Technology, Suzhou 215123, China

  • 3.

    Suzhou Aerospace Information Research Institute, Suzhou 215123, China

  • 4.

    Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100190, China

  • 5.

    Zhongke Yuda (Beijing) Technology Co., Ltd., Beijing 100190, China

Funds:  The National Natural Science Foundation of China (61991420, 61991421, 61991424)
More Information
  • Corresponding author: QIU Xiaolan, xlqiu@mail.ie.ac.cn; DING Chibiao, cbding@mail.ie.ac.cn
  • Received Date: 2022-01-29
  • Accepted Date: 2022-02-19
  • Rev Recd Date: 2022-02-17
    • Available Online: 2022-02-19
  • Publish Date: 2022-02-24
    Abstract
  • Three-Dimensional (3D) Synthetic Aperture Radar (SAR) imaging has considerable application potential in steep-terrain mapping and target recognition in complex environments and is an important development direction in the current SAR field. To promote the development and application of the 3D SAR imaging technology, the Aerospace Information Research Institute, Chinese Academy of Sciences designed and developed an unmanned aerial vehicle-borne Microwave-Vision 3D SAR (MV3DSAR) experimental system, which provides an experimental platform for the research and verification of related technologies. Currently, the single-polarization version of the system has been developed, and the first flight experiment has been conducted in Tianjin. This study introduces the structure, performance, key technologies, and data processing of the system. This study also presents the implementation and preliminary data processing results of the first experiment, verifying the basic performance and 3D imaging capability of the system. The MV3DSAR provides a good experimental and verification platform for analyzing 3D SAR imaging algorithms and constructing 3D SAR imaging datasets.

     

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