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

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

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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.

DeformationSatellitesSensitivityGlobal navigation satellite systemSynthetic aperture radarGlobal Positioning SystemReceiversAccuracySpatial resolutionSignal resolution

C. Martins Jardim、J. A. García-Matos、F. Toral、S. Izquierdo Bermudez、J. C. Perez、E. Todesco

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Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), Madrid, Spain

Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), Madrid, Spain|ICAI School of Engineering (ETSI-ICAI) of the Comillas Pontifical University, Madrid, Spain

CERN, Geneva, Switzerland

2025

IEEE geoscience and remote sensing letters

IEEE geoscience and remote sensing letters

SCI
ISSN:
年,卷(期):2025.22(1)
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