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Proceedings Paper

A new autonomous celestial navigation method based on UKF and MPF
Author(s): Fan Xu
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Paper Abstract

The artificial satellite autonomous celestial navigation often uses starlight angular distance observed method. The perturbation terms beside the 2nd zonal harmonic of the non-spherical earth gravity(J2) are regarded as white noise. Aimed at the problem and in order to improve the model's precision, a new Autonomous Celestial Navigation Method Based on unscented Kalman filter (UKF) and Model Predictive Filter (MPF) is proposed. It takes advantages of both MPF and UKF. The advantages of the new algorithm include: the model error is assumed unknown and is estimated as part of the solution, the model error is not limited to Gaussian noise characteristics, and the algorithm can be implemented on-line to both filter noisy measurements and estimate state trajectories.

Paper Details

Date Published: 2 April 2010
PDF: 6 pages
Proc. SPIE 7651, International Conference on Space Information Technology 2009, 76512O (2 April 2010); doi: 10.1117/12.855427
Show Author Affiliations
Fan Xu, Beijing Aerospace Automatic Control Institute (China)


Published in SPIE Proceedings Vol. 7651:
International Conference on Space Information Technology 2009
Xingrui Ma; Baohua Yang; Ming Li, Editor(s)

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