Optimal-Transport-Based Tracking of Space Objects Using Range Data from a Single Ranging Station
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2018 by the American Institute of Aeronautics and Astronautics, Inc. 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.
JOURNAL OF GUIDANCE CONTROL AND DYNAMICS
author list (cited authors)
Das, N., Deshpande, V., & Bhattacharya, R.
complete list of authors
Das, Niladri||Deshpande, Vedang||Bhattacharya, Raktim