Volume 12 Issue 4
Aug.  2023
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Article Navigation >  Journal of Radars  > 2023  >  12(4): 832-848
Wu Yong, Wang Jun. Application of Mixed Kalman Filter to Passive Radar Target Tracking[J]. Journal of Radars, 2014, 3(6): 652-659. doi: 10.12000/JR14113
Citation: ZHU Jinbiao, PAN Jie, QIU Xiaolan, et al. Analysis and experimental validation of key technologies for unmanned aerial vehicle-borne bistatic interferometric synthetic aperture radar[J]. Journal of Radars, 2023, 12(4): 832–848. doi: 10.12000/JR23060
shu

Analysis and Experimental Validation of Key Technologies for Unmanned Aerial Vehicle-borne Bistatic Interferometric Synthetic Aperture Radar

DOI: 10.12000/JR23060
  • 1.

    Electronic Information College, Northwestern Polytechnical University, Xi’an 710072, China

  • 2.

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

  • 3.

    Suzhou Key Laboratory of Microwave Imaging Processing and Application Technology, Suzhou 215123, China

  • 4.

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

  • 5.

    Honeycomb Aerospace Technology (Beijing) Co., Ltd., Beijing 100071, China

Funds:  National Key R&D Program of China (2022YFB3902600)
More Information
  • Corresponding author: ZHU Jinbiao, zhujb@aircas.ac.cn; PAN Jie, panjie@aircas.ac.cn
  • Received Date: 2023-04-27
  • Rev Recd Date: 2023-07-19
    • Available Online: 2023-07-25
  • Publish Date: 2023-08-11
    Abstract
  • Bistatic interferometric Synthetic Aperture Radar (SAR) overcomes the baseline length limit of the configuration of single-station interferometric SAR with two antennas and has become the primary method of terrain mapping using spaceborne interferometric SAR. To reduce the cost of surveying and mapping while promoting the development and application of Unmanned Aerial Vehicle (UAV)-borne bistatic interferometric SAR, the Aerospace Information Research Institute, Chinese Academy of Sciences took the lead in designing and developing a UAV-borne bistatic interferometric SAR processing system and performed flight experiments at Bailing Airport in Inner Mongolia. Herein, the system design, composition, and performance are introduced, and the scheme and implementation of the first flight experiment, along with the preliminary data processing results, are presented. In addition, the key performance metrics of the system, such as 0.5 m-elevation measurement accuracy, are verified in this study. The system serves as a foundation for future research topics, such as distributed InSAR using a multiaviation platform and tomography data acquisition and processing.

     

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