A Satellite Selection Algorithm for GNSS-R InSAR Elevation Deformation Retrieval
The global navigation satellite system (GNSS) reflectometry synthetic aperture radar (SAR) interferometry (GNSS-R InSAR) system enables elevation deformation retrieval using a single satellite. However, variations in bistatic configurations and the generally low accuracy of most satellites necessitate a refined satellite selection method. Thus, this letter proposes a satellite selection algorithm for GNSS-R InSAR, aiming to optimize satellite selection and data acquisition time to improve the precision of elevation deformation monitoring. First, the interferometric phase model based on the repeat-pass concept was established using GPS L5 signals. Second, a satellite selection algorithm was proposed that incorporates constraints on resolution cells, spatial baseline, and phase sensitivity for elevation deformation, derived from an analysis of the repeat-pass spatial baseline of GNSS satellites, interferometric phase sensitivity, and the maximum deformation range. Third, 24 sets of repeat-pass data were collected, and the experimental results validate the effectiveness of this single-satellite selection approach.
Authors
- Zhixin Deng
- Jingyan Yu
- Yunlong Zhu
- Yanling Zhao
Institutions
- China Electronics Technology Group Corporation (CN)
- Beijing Satellite Navigation Center (CN)
- Beihang University (CN)
Publication Details
- Journal
- IEEE Geoscience and Remote Sensing Letters
- Published
- 2024-12-10
- DOI
- https://doi.org/10.1109/lgrs.2024.3514913
- Citations
- 2
- Primary Topic
- Synthetic Aperture Radar (SAR) Applications and Techniques
- Type
- article
- Field-Weighted Citation Impact
- 2.60