Advanced motion estimations and predictions of a tumbling, non-cooperative space object during long-term occlusion
Rabiul Kabir,
Xiaoli Bai
Abstract:This study aims to improve the rotational motion and inertia parameters estimation performance of an Unscented Kalman Filter model (UKF) for a torque-free tumbling non-cooperative space object using the Gaussian Process (GP). The traditional UKF algorithm which is a physics-based estimation algorithm for non-linear systems is susceptible to the physical process, measurement sampling rate, and filter design. Consequently, slight inaccuracy in the assumed physical models, low sampling rates, or small variations … Show more
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