A novel subsidence monitoring technique based on space-surface bistatic differential interferometry using GNSS as transmitters
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  • 作者:Tao Zeng ; Tian Zhang ; WeiMing Tian ; Cheng Hu
  • 关键词:differential interferometry ; subsidence monitoring ; Beidou ; 2/Compass ; 2 ; space ; surface bistatic radar ; differential GPS ; 宸垎骞叉秹 ; 娌夐檷娴嬮噺 ; 鍖楁枟 ; 2 ; 鏄熷湴鍙屽熀鍦伴浄杈?/li> 宸垎 GNSS ; 062304
  • 刊名:SCIENCE CHINA Information Sciences
  • 出版年:2015
  • 出版时间:June 2015
  • 年:2015
  • 卷:58
  • 期:6
  • 页码:1-16
  • 全文大小:1,147 KB
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  • 作者单位:Tao Zeng (1) (2)
    Tian Zhang (1) (2)
    WeiMing Tian (1) (2)
    Cheng Hu (1) (2)

    1. Beijing Key Laboratory of Embedded Real-time Information Processing Technology, Beijing, 100081, China
    2. Radar Research Laboratory, School of Information and Electronics, Beijing Institute of Technology, Beijing, 100081, China
  • 刊物类别:Computer Science
  • 刊物主题:Chinese Library of Science
    Information Systems and Communication Service
  • 出版者:Science China Press, co-published with Springer
  • ISSN:1869-1919
文摘
Synthetic Aperture Radar Differential Interferometry (DInSAR) technique is an effective tool with large coverage and high spatial accuracy for subsidence monitoring. Nevertheless, the temporal resolution is usually poor so that rapid deformation cannot be measured due to the long revisit time of radar satellites. Bistatic SAR Differential Interferometry technique using Global Navigation Satellite System (GNSS) as illuminator has a shorter revisit time, whereas the measurement accuracy is constrained by low signal power, narrow bandwidth and atmospheric delay error. To cope with these problems, in this paper, we propose a novel subsidence monitoring technique based on Space-Surface bistatic Differential Interferometry (SS-DI) with GNSS transmitters, where two stations consist of a reference one and a measurement one that are deployed on the ground. First, we applied a space differential processing between two stations to cancel identical errors such as tropospheric and ionospheric errors etc. Then we used a long time coherent integration to improve the signal noise ratio. Subsequently, we also utilized a time differential processing to construct double differential equations with respect to unknown deformation variables. Finally, we solved the equations to obtain a highly accurate estimation of three dimension deformation. Furthermore, an SS-DI experiment using Beidou-2 as transmitters was carried out to validate the proposed method, where a high accuracy (0.01 mm) device was utilized to simulate subsidence deformation. The experimental results reveal that the proposed method has better performance of spatial measurement accuracy of 0.53 mm compared with differential GPS method.

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