Gaussian Processes for improving orbit prediction accuracy
Sign Up to like & getrecommendations! Published in 2019 at "Acta Astronautica"
DOI: 10.1016/j.actaastro.2019.05.014
Abstract: Abstract A machine learning (ML) approach has been recently proposed to improve the orbit prediction accuracy of resident space objects (RSOs) through learning from historical data. Previous results have shown that the ML approach can… read more here.
Keywords: orbit prediction; gaussian processes; prediction accuracy;
Impacts of Earth rotation parameters on GNSS ultra-rapid orbit prediction: Derivation and real-time correction
Sign Up to like & getrecommendations! Published in 2017 at "Advances in Space Research"
DOI: 10.1016/j.asr.2017.09.022
Abstract: Abstract Analysis centers (ACs) for global navigation satellite systems (GNSSs) cannot accurately obtain real-time Earth rotation parameters (ERPs). Thus, the prediction of ultra-rapid orbits in the international terrestrial reference system (ITRS) has to utilize the… read more here.
Keywords: ultra rapid; correction; orbit prediction; rapid orbit ... See more keywords
Improved orbit prediction of LEO objects with calibrated atmospheric mass density model
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Spatial Science"
DOI: 10.1080/14498596.2017.1371089
Abstract: Abstract The accuracy of atmospheric mass density models is critical for OP (orbit prediction) of LEO (low earth orbit) space objects. This paper studies the effects of three methods on the improvement of OP accuracy… read more here.
Keywords: leo objects; mass density; prediction leo; orbit prediction ... See more keywords