A novel deep learning-based approach by training neural networks to predict the normal maneuver-free behavior of Resident Space Objects (RSOs), using time series of Mean Orbital Elements (MOEs) of orbital debris extracted from the Special Perturbation (SP) database.
To address the unstable detection of weak orbital maneuvers from publicly available Two-Line Element (TLE) data affected by natural perturbations, orbit-determination errors, outliers, and irregular update intervals, an adaptive multi-feature maneuver-detection method is proposed. The method incorporates a dominant J2...
To address the requirement for the fast design of fuel-optimal maneuver trajectories in on-orbit servicing of satellite constellations, traditional numerical methods for solving the Lambert problem suffer from high computational complexity and numerous iterations, making them inefficient for scenarios involving multipl...
Jun-Jie Lu, Zhong-Jie Meng, Bo Liu et al.· IEEE Transactions on Aerospa...· 0 citations
Traditional satellite impulsive maneuver detection methods suffer from low accuracy, unreliable time estimation, dependence on manual parameters, and poor noise robustness. This paper proposes a hybrid neural network model to detect impulsive maneuvers and pinpoint the start and end of the maneuver window. First, the m...
Jun-Jie Wang, Xiao-Gang Pan, Jiong-Qi Wang et al.· International Conference on...· 0 citations
The feasibility of AI-basedomaly detection as a proof-of-concept framework for trajectory monitoring in future UAM operations is demonstrated, with further validation under real-world conditions required before operational deployment.
Jeongmin Kim, Peng Wei, Kyowon Song· IEEE transactions on intelli...· 0 citations
Initial Orbit Determination (IOD) from Very Short Arcs (VSAs) remains one of the most challenging open problems in asteroid surveillance and celestial mechanics. Classical methods require angular observations spanning a sufficient fraction of the orbit, and become ill-conditioned or fail outright when only a single obs...
Francesco Geroni, R. Paoli, Riccardo Massidda et al.· 0 citations
MSGate provides an accurate, maneuver-robust solution for radar state estimation of highly maneuverable UAVs, and generalizes to a separate nano-quadrotor dataset (NanoBench).
