Volume 8 Issue 5
Oct.  2019
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Article Navigation >  Journal of Radars  > 2019  >  8(5): 624-630
ZHANG Lingzhi, LIU Feifeng, and HU Cheng. Optimization method and analysis of data acquisition strategy based on interference SAR with GNSS transmitters[J]. Journal of Radars, 2019, 8(5): 624–630. doi: 10.12000/JR19065
Citation: ZHANG Lingzhi, LIU Feifeng, and HU Cheng. Optimization method and analysis of data acquisition strategy based on interference SAR with GNSS transmitters[J]. Journal of Radars, 2019, 8(5): 624–630. doi: 10.12000/JR19065
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Optimization Method and Analysis of Data Acquisition Strategy Based on Interference SAR with GNSS Transmitters

DOI: 10.12000/JR19065

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

  • Key Laboratory of Electronic and Information Technology in Satellite Navigation (Beijing Institute of Technology), Ministry of Education, Beijing 100081, China

Funds:  The National Natural Science Foundation of China (61601032, 61625103)
More Information
  • Corresponding author: LIU Feifeng, feifengliu_bit@bit.edu.cn
  • Received Date: 2019-07-04
  • Rev Recd Date: 2019-08-12
    • Available Online: 2019-09-02
  • Publish Date: 2019-10-01
    Abstract
  • Interference Synthetic Aperture Radar based on the Global Navigation Satellite System (GNSS-InSAR) uses in-orbit navigation satellites as transmitters of opportunity and receivers are deployed near the ground. Continuous regional observation can be achieved by the constellation and repeat-pass characteristics of the navigation satellites. Continuous-time data collection is required for 1D/3D deformation retrieval of the scene, just like city, bridge, and slope. Since the navigation satellites are not strictly repeat pass and time of repeat pass is uncertain, the original data redundancy is high and interception amount is large when data are aligned, reducing the effect of data. This study focuses on the time accuracy of data acquisition in deformation retrieval of GNSS-InSAR and proposes a repeat-pass data acquisition optimization model, which combines the actual trajectory with the STK, two-line element set prediction trajectory, and sliding window trajectory of the spatial coherence coefficient. Data are aligned to determine the time interval of the adjacent navigation satellites, enabling accurate GNSS-InSAR data acquisition and ensuring effective data accumulation time under reduced original data redundancy. The measured data show the effectiveness of the proposed method.

     

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