Research on Adaptive UKF Algorithm in Integrated Navigation System
Jianjun Li, Junshan Li, Jianye Yang
Available Online July 2018.
- https://doi.org/10.2991/msam-18.2018.38How to use a DOI?
- component; adaptive estimation principle; Unscented Kalman Filter; integrated navigation
- According to the characteristics of the combined navigation system and the adaptive UKF filtering algorithm, the navigation accuracy of the integrated navigation system is improved. Firstly, the algorithm of the UKF filtering algorithm is analyzed and the characteristics of the UKF algorithm are summarized, and the adaptive factor is introduced into the UKF filtering algorithm by the adaptive estimation principle, and the improved adaptive UKF algorithm is obtained, and the algorithm is applied to the integrated navigation system. Finally, the simulation calculation of the computer is carried out. The simulation results of adaptive UKF algorithm applied to integrated navigation system are improved, and the results are compared with the results of UKF algorithm. The experimental results show that the improved adaptive UKF can effectively suppress the influence of the initial value selection of the integrated navigation system, reduce the disturbance of the system state model, and effectively improve the precision of the integrated navigation.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Jianjun Li AU - Junshan Li AU - Jianye Yang PY - 2018/07 DA - 2018/07 TI - Research on Adaptive UKF Algorithm in Integrated Navigation System BT - Proceedings of the 2018 3rd International Conference on Modelling, Simulation and Applied Mathematics (MSAM 2018) PB - Atlantis Press SP - 179 EP - 183 SN - 1951-6851 UR - https://doi.org/10.2991/msam-18.2018.38 DO - https://doi.org/10.2991/msam-18.2018.38 ID - Li2018/07 ER -