In this paper, an optimal-transport-based state estimation algorithm is applied to the debris-tracking problem, with real range data from a single ranging station. It is shown that the optimal-transport-based nonlinear data assimilation technique is more accurate, robust, and consistent than commonly used ensemble Kalman filtering, especially in astrodynamics problems where uncertainty evolves in a cylindrical coordinate system. It is further shown that the optimal-transport-based state estimation provides accurate 24 h predictions for space objects. This is critical for laser ranging stations, which may miss a pass due to inaccurate predictions. This study incorporates real observation data from the International Laser Ranging Service for two passes of the Starlette satellite.
Optimal-Transport-Based Tracking of Space Objects Using Range Data from a Single Ranging Station
Journal of Guidance, Control, and Dynamics ; 42 , 6 ; 1237-1249
2019-06-01
Article (Journal)
Electronic Resource
English
Optimal Transport Based Tracking of Space Objects in Cylindrical Manifolds
Online Contents | 2019
|Optimal Transport Based Tracking of Space Objects in Cylindrical Manifolds
Springer Verlag | 2019
|Tracking moving objects using range data
Automotive engineering | 1997
|Tracking Moving Objects using Range Data
British Library Conference Proceedings | 1997
|