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LEO-based geocenter motion estimation using dynamic force models and onboard GNSS observations

Urheber*innen

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

Li,  Xingxing
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;

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

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

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

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

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

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Zitation

Zhang, K., Li, X., Jiang, W., Fu, Y., Yuan, Y., Lou, J., Wu, J., Zhang, W. (2023): LEO-based geocenter motion estimation using dynamic force models and onboard GNSS observations, XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG) (Berlin 2023).
https://doi.org/10.57757/IUGG23-3049


Zitierlink: https://gfzpublic.gfz-potsdam.de/pubman/item/item_5020612
Zusammenfassung
Low earth orbit (LEO) satellites have a natural advantage in sensing geocenter motion due to their low altitude. However, the complicated low-altitude space environment poses notable challenges for LEO orbit modeling, which can eventually impact the quality of derived geocenter motion. In this study, we focus on the LEO-based geocenter estimation. The geocenter motion is directly estimated in the LEO dynamic POD without incorporating ground GNSS observations. We use dynamic models instead of onboard accelerometer measurements for the non-gravitational forces in order to investigate the impact of orbit modeling on the geocenter estimation. Three year (2019-2021) onboard GNSS observations from seven LEO satellites in different orbits are processed. Our results indicate a strong correlation between LEO solar radiation pressure (SRP) modeling and estimated geocenter motion. The imperfections of a priori box-wing model can result in severe distortions of geocenter estimates, especially for the Z components. But by introducing a SRP scale factor, most orbital artifacts signal in the geocenter coordinates can be eliminated, and the time resolution of SRP scale factor have a negligible influence on the geocenter estimates. Furthermore, we compare our result with the solution based on the accelerometer measurements, and observed a good consistency in the annual signal characteristic of both solutions. We also evaluate the contribution of multiple LEO combination to the geocenter estimation. The combination of multiple LEO can significantly reduce the corelation between geocenter coordinates and orbit dynamic parameters, thereby improving the reliability of the derived geocenter motion.