Machine learning-based approach for ballistic coefficient estimation of resident space objects in LEO

N Cimmino, R Opromolla, G Fasano - Advances in Space Research, 2023 - Elsevier
The increasing number of Resident Space Objects poses a serious threat to the safe
operation of satellites. Alongside with mitigation policies, it is fundamental to predict the
trajectories of such objects which requires the accurate estimation of the physical
characteristics that influence their orbits. An important role is played by the area-to-mass
ratio, ie, the ratio between the area exposed to the atmosphere/the Sun and the mass of the
space object for the LEO/MEO and GEO region. Current literature proposes several …
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