Study On Satellite_Borne GPS/SINS Deeply Integrated Technology

Now, autonomous navigation for satellite is an important trend of satellite control. In this dissertation, based on information fusion theory, space-borne GPS/SINS deeply integrated technology used for autonomous navigation of satellite is studied.At first the Federal Kalman filter based on information fusion is expatiated in detail. Then the orbit of a satellite with perturbations (including the nonspherical perturbation, the solar and lunar gravity, the solar radiation pressure and the drag of atmosphere) is simulated. The observations of SINS and GPS are derived from the orbit. According to the basic theory of GPS navigation and SINS navigation, the comprehensive mathematic models of integrate navigation system is built under Earth Center Fixed coordinate system. Simulation of SINS navigation, SINS and GPS pseudorange (pseudorange rate) integrated navigation, SISN and GPS deeply integrated navigation, are carried out. Federal Kalman filter is used to analyze the precision of the deeply integrate navigation system. At last, the No-Reset mode and Fusion-Reset mode of federal filter are contrasted on the results of navigation.The result shows that the accuracy of the navigation system is efficiently improved. Comparing with the federal filter Fusion-Reset mode, the No-Reset mode has superior fault-tolerant capabilities with a slight degradation in estimation accuracy. So it can be applied as a reliable and effective method in information fusion.