GNSS-Based SAR Interferometry for 3-D Deformation Retrieval: Algorithms and Feasibility Study

Feifeng Liu, Xuezhen Fan, Tian Zhang, Quanhua Liu*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

48 Citations (Scopus)

Abstract

This paper proposed a 3-D surface deformation retrieval algorithm for synthetic aperture radar interferometry (InSAR) based on a Global Navigation Satellite System (GNSS) as a transmitter and a fixed receiver (GNSS-based InSAR), where simultaneous multiple GNSS transmitters and a repeat-pass concept were adopted. This paper consists of three parts. First, the interferometric phase model under repeat-pass concept was established for both general and bistatic permanent scatterer (PS) cases in the GNSS-based InSAR. Second, the 3-D deformation retrieval algorithm was presented, and the position dilution of precision was analytically derived to evaluate the performance of measured 3-D deformation. Third, using a designed transponder onboard displacement device as the bistatic PS, the feasibility of 3-D deformation retrieval using GNSS-based InSAR was confirmed by repeat-pass experiments, where four simultaneously available Beidou-2 Inclined Geosynchronous Orbit satellites were used as transmitters, and 16 repeat-pass data sets were collected. Using the proposed algorithm, the final experimental results suggested that the GNSS-based InSAR could obtain deformation estimations with better accuracy than at 5 mm in all three directions. Thus, huge potential exists for applications such as landslide prediction and infrastructure safety monitoring.

Original languageEnglish
Article number8353745
Pages (from-to)5736-5748
Number of pages13
JournalIEEE Transactions on Geoscience and Remote Sensing
Volume56
Issue number10
DOIs
Publication statusPublished - Oct 2018

Keywords

  • 3-D deformation retrieval
  • Global Navigation Satellite System (GNSS)-based synthetic aperture radar interferometry (InSAR)
  • bistatic PS
  • repeat pass

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