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.

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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
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article

A Satellite Selection Algorithm for GNSS-R InSAR Elevation Deformation Retrieval

Zhixin Deng, Jingyan Yu, Yunlong Zhu, Yanling Zhao
2 citations
IEEE Geoscience and Remote Sensing Letters
Synthetic Aperture Radar (SAR) Applications and Techniques
2.60
article

A Satellite Selection Algorithm for GNSS-R InSAR Elevation Deformation Retrieval

Zhixin Deng, Jingyan Yu, Yunlong Zhu, Yanling Zhao
article en
2 citations

Abstract

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.

IEEE Geoscience and Remote Sensing LettersVol. 22
China Electronics Technology Group Corporation (CN), Beijing Satellite Navigation Center (CN), Beihang University (CN)
Climate action
Openalex Percentile: Top 8%
Synthetic Aperture Radar (SAR) Applications and Techniques
2.60
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