Information fusion method for autonomous navigation system of space transfer vehicle

For the space transfer vehicle working environment and characteristics,information fusion method for autonomous navigation system of space transfer vehicle based on SINS / GPS / SS is proposed by means of the analysis of SINS,GPS and SS,and the integrated navigation filtering model is established.This method combines subtly the high precision advantage of GPS position with the high precision advantage of SS attitude to assist SINS.The each subfilter has not private state variable in the federal filtering integrated navigation,and the federal Kalman filter is improved by means of the subfilter characteristics.Thus,the information distribution factor is dynamically selected and optimized,and it is convenient for real-time processing.The simulation results show that the improved algorithm can make full use of the navigation system information,and is higher than the conventional algorithm in estimation accuracy.This method is a kind of more ideal autonomous navigation method during the long time autonomous navigation for space transfer vehicle,and this autonomous navigation method is very practical in the engineering application.