Autonomous Navigation for Lunar Satellite Based on Information Fusion

We propose a multi-source information autonomous navigation scheme,which composes of star sensor,ultraviolet moon sensor and the altimeter for satellite around Moon.Unscented Kalman filtering(UKF)is used in nonlinear systems.The optimal orbit of the satellite is determined by a federated Kalman filter which realizes information complement based on a new information fusion algorithm.We also compared with the extend Kalman filtering(EKF)based on information fusion.The effectiveness of the navigation scheme was implemented by numerical simulations.The simulation results show that UKF information fusion algorithm can improve the navigation precision and reliabilities.