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Open AccessArticle

Improving Low Earth Orbit (LEO) Prediction with Accelerometer Data

by Haibo Ge 1,2, Bofeng Li 1,*, Maorong Ge 2,3, Liangwei Nie 2,3 and Harald Schuh 2,3
1
College of Surveying and Geo-Informatics, Tongji University, Shanghai 200092, China
2
Department of Geodesy, GeoForschungsZentrum (GFZ), Telegrafenberg, 14473 Potsdam, Germany
3
Institut für Geodäsie und Geoinformationstechnik, Technische Universität, 10963 Berlin, Germany
*
Author to whom correspondence should be addressed.
Remote Sens. 2020, 12(10), 1599; https://doi.org/10.3390/rs12101599
Received: 10 April 2020 / Revised: 7 May 2020 / Accepted: 15 May 2020 / Published: 17 May 2020
(This article belongs to the Section Remote Sensing in Geology, Geomorphology and Hydrology)
Low Earth Orbit (LEO) satellites have been widely used in scientific fields or commercial applications in recent decades. The demands of the real time scientific research or real time applications require real time precise LEO orbits. Usually, the predicted orbit is one of the solutions for real time users, so it is of great importance to investigate LEO orbit prediction for users who need real time LEO orbits. The centimeter level precision orbit is needed for high precision applications. Aiming at obtaining the predicted LEO orbit with centimeter precision, this article demonstrates the traditional method to conduct orbit prediction and put forward an idea of LEO orbit prediction by using onboard accelerometer data for real time applications. The procedure of LEO orbit prediction is proposed after comparing three different estimation strategies of retrieving initial conditions and dynamic parameters. Three strategies are estimating empirical coefficients every one cycle per revolution, which is the traditional method, estimating calibration parameters of one bias of accelerometer hourly for each direction by using accelerometer data, and estimating calibration parameters of one bias and one scale factor of the accelerometer for each direction with one arc by using accelerometer data. The results show that the predicted LEO orbit precision by using the traditional method can reach 10 cm when the predicted time is shorter than 20 min, while the predicted LEO orbit with better than 5 cm for each orbit direction can be achieved with accelerometer data even to predict one hour. View Full-Text
Keywords: Low Earth Orbit (LEO); orbit prediction; accelerometer data; calibration parameters; empirical coefficient; initial conditions; dynamic parameters Low Earth Orbit (LEO); orbit prediction; accelerometer data; calibration parameters; empirical coefficient; initial conditions; dynamic parameters
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MDPI and ACS Style

Ge, H.; Li, B.; Ge, M.; Nie, L.; Schuh, H. Improving Low Earth Orbit (LEO) Prediction with Accelerometer Data. Remote Sens. 2020, 12, 1599.

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