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Proceedings Paper

Bayesian bootstrap filtering for the satellite attitude determination using a star sensor
Author(s): Sangwoo Cho; Joohwan Chun
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Paper Abstract

We propose a new satellite attitude determination method based on the Bayesian bootstrap filtering approach. The proposed method estimates three Euler angles using the vector observations obtained from a star sensor and using the information of gyro angular rates. The system dynamics and the measurement models of this problem are highly nonlinear functions of the Euler angles and the angular velocities. Moreover, the well-known singularity problem (of the Euler angles) may be encountered during random spinning of the satellite. To verify the proposed method, simulation is performed and the result demonstrates that our method gives better Euler angles estimate than the EKF (extended Kalman filter).

Paper Details

Date Published: 1 November 2001
PDF: 8 pages
Proc. SPIE 4477, Astronomical Data Analysis, (1 November 2001); doi: 10.1117/12.447162
Show Author Affiliations
Sangwoo Cho, Korea Advanced Institute of Science and Technology (South Korea)
Joohwan Chun, Korea Advanced Institute of Science and Technology (South Korea)

Published in SPIE Proceedings Vol. 4477:
Astronomical Data Analysis
Jean-Luc Starck; Fionn D. Murtagh, Editor(s)

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