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Determination of precise Galileo and Sentinel-6A orbits using combined GNSS and SLR data

Urheber*innen

Cui,  Zilu
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

Chen,  Hua
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

Zhou,  Xingyu
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

Li,  Zhao
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

Jiang,  Weiping
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

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Zitation

Cui, Z., Chen, H., Zhou, X., Li, Z., Jiang, W. (2023): Determination of precise Galileo and Sentinel-6A orbits using combined GNSS and SLR data, XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG) (Berlin 2023).
https://doi.org/10.57757/IUGG23-4055


Zitierlink: https://gfzpublic.gfz-potsdam.de/pubman/item/item_5021495
Zusammenfassung
The Sentinel-6 satellites are equipped with a dual-constellation GNSS receiver and laser retroreflector arrays (LRAs) to enable tracking GNSS and SLR signals. Integrating the LEO and ground GNSS data at the observation level is reported to be capable of improving both GNSS and LEO orbits. In this study, we developed a method to integrate ground and onboard GNSS and SLR data for Galileo and Sentinel-6A satellite orbits determination, where the Galileo and Sentinel-6A were used as colocations. Meanwhile, three weighting strategies and SLR range bias estimation methods are assessed by the quality of satellites orbits. In the experiments, data over a month is utilized for validation, the results confirmed the Galileo orbits improvement brought by the Sentinel-6A data. And it is also found that the SLR data could improve both Galileo and Sentinel-6A orbits with suitable weighting and range bias estimation strategy. The GNSS/SLR fusion method with colocation onboard also shows the potential to improve the terrestrial reference frame further.