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Proceedings Paper

Autonomous navigation algorithms based on improved CKF filters
Author(s): Rong Zhu; Xiaogang Pan; Jiongqi Wang; Haiyin Zhou
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Paper Abstract

Considering the great effects the measurement system errors of sensors have on satellite autonomous navigation, we study the filter algorithm for the navigation system with constant system error in this paper to improve the navigation precision. this paper improves conventional CKF algorithm and proposes an adaptive CKF filters based on model compensation, the state and bias estimation is performed separately using the CKF filters, and then the state variables are updated using the estimated bias. Finally, we verify the feasibility of the improved algorithm by simulation experiment, the simulation results show that the algorithm can improve the navigation accuracy.

Paper Details

Date Published: 26 January 2016
PDF: 6 pages
Proc. SPIE 9796, Selected Papers of the Photoelectronic Technology Committee Conferences held November 2015, 97961J (26 January 2016); doi: 10.1117/12.2228358
Show Author Affiliations
Rong Zhu, National Univ. of Defense Technology (China)
Xiaogang Pan, National Univ. of Defense Technology (China)
Jiongqi Wang, National Univ. of Defense Technology (China)
Haiyin Zhou, National Univ. of Defense Technology (China)


Published in SPIE Proceedings Vol. 9796:
Selected Papers of the Photoelectronic Technology Committee Conferences held November 2015
Weimin Bao; Yueguang Lv, Editor(s)

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