26 January 2016 Autonomous navigation algorithms based on improved CKF filters
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Proceedings Volume 9796, Selected Papers of the Photoelectronic Technology Committee Conferences held November 2015; 97961J (2016) https://doi.org/10.1117/12.2228358
Event: Selected Proceedings of the Chinese Society for Optical Engineering Conferences held November 2015, 2015, Various, China
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.
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Rong Zhu, Rong Zhu, Xiaogang Pan, Xiaogang Pan, Jiongqi Wang, Jiongqi Wang, Haiyin Zhou, Haiyin Zhou, } "Autonomous navigation algorithms based on improved CKF filters", Proc. SPIE 9796, Selected Papers of the Photoelectronic Technology Committee Conferences held November 2015, 97961J (26 January 2016); doi: 10.1117/12.2228358; https://doi.org/10.1117/12.2228358
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