Volume 8 Issue 1
Mar.  2019
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ZENG Tao, DENG Yunkai, HU Cheng, et al. Development state and application examples of ground-based differential interferometric radar[J]. Journal of Radars, 2019, 8(1): 154–170. doi: 10.12000/JR18115
Citation: ZENG Tao, DENG Yunkai, HU Cheng, et al. Development state and application examples of ground-based differential interferometric radar[J]. Journal of Radars, 2019, 8(1): 154–170. doi: 10.12000/JR18115
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Development State and Application Examples of Ground-based Differential Interferometric Radar

DOI: 10.12000/JR18115
  • ①.

    Radar Research Lab, School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China

  • ②.

    Key Laboratory of Electronics and Information Technology in Satellite Navigation, Ministry of Education, Beijing Institute of Technology, Beijing 100081, China

Funds:  The National Natural Science Foundation of China (61427802, 61601031), The National Science Fund for Distinguished Yong Scholars (61625103), The Foundation of Chang Jiang Scholars Programme (T2012122)
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  • Corresponding author: DENG Yunkai, yunkai_bit@foxmail.com
  • Received Date: 2018-12-17
  • Rev Recd Date: 2019-02-15
    • Available Online: 2019-03-15
  • Publish Date: 2019-02-28
    Abstract
  • Ground-Based Differential Interferometric Radars (GB-DInRads) have been widely applied to measure deformations. In this paper, the main types of GB-DInRads are summarized, including ground-based real aperture radar and Ground-Based Synthetic Aperture Radar (GB-SAR). The working principles and important parameters of some representative systems are introduced. Then, taking the GB-SAR as an example, the current key processing techniques are introduced, which mainly include differential interferometry, permanent scatterer selection, and atmospheric phase compensation. Lastly, three examples are presented to show the applications of GB-DInRad in deformation measurements. A Multiple-Input Multiple-Output (MIMO) radar was utilized to monitor an open-pit mine for about 11 days, and two regions with obvious deformation were found. In addition, a linear-scanning GB-SAR was utilized to monitor a mountain slope after severe landslide. The analysis result proved that rainfall could accelerate deformation. The feasibility of vibration measurement with the MIMO radar was also discussed in this paper.

     

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