Autonomous navigation algorithms based on improved CKF filters

Rong Zhu; Xiaogang Pan; Jiongqi Wang; Haiyin Zhou

doi:10.1117/12.2228358

26 January 2016 Autonomous navigation algorithms based on improved CKF filters

Rong Zhu, Xiaogang Pan, Jiongqi Wang, Haiyin Zhou

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.

Citation Download Citation

Rong Zhu, Xiaogang Pan, Jiongqi Wang, and 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); https://doi.org/10.1117/12.2228358

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