[HTML][HTML] A recurrent neural network-based approach for ballistic coefficient estimation of resident space objects in low earth orbit

N Cimmino, D Amato, R Opromolla… - Advances in Space …, 2025 - Elsevier
Abstract Characterizing Resident Space Objects (RSOs) has become paramount for several
Space Situational Awareness functions, such as accurate orbit prediction, collision …

Earth Orbiting Resident Space Objects Characterization based on Astrometric Data

N Cimmino, G Isoletta, R Opromolla… - 2023 IEEE 10th …, 2023 - ieeexplore.ieee.org
Due to the increasing number of Resident Space Objects, it becomes fundamental to
characterize them. In particular, the ballistic coefficient and the effective ballistic coefficient …

[PDF][PDF] Improving Ballistic Coefficient Estimation of Resident Space Objects in Low Earth Orbit Nicola Cimminoa*, Giorgio Isolettaa, Roberto Opromollaa, Giancarmine …

N Cimminoa - 2023 - researchgate.net
Abstract Characterizing Resident Space Objects (RSO) is fundamental for several Space
Situational Awareness functions, such as accurate orbit prediction and collision avoidance …