A new autonomous celestial navigation method based on UKF and MPF

Fan Xu

doi:10.1117/12.855427

2 April 2010 A new autonomous celestial navigation method based on UKF and MPF

Fan Xu

Proceedings Volume 7651, International Conference on Space Information Technology 2009; 76512O (2010) https://doi.org/10.1117/12.855427
Event: International Conference on Space Information Technology 2009, 2009, Beijing, China

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.

Citation Download Citation

Fan Xu "A new autonomous celestial navigation method based on UKF and MPF", Proc. SPIE 7651, International Conference on Space Information Technology 2009, 76512O (2 April 2010); https://doi.org/10.1117/12.855427

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