Research On Information Fusion Algorithm Of Navigation System Of Reentry Maneuver Vehicle

Along with the increasing demand of precision strike in the modern warfare, the navigation information provided by the navigation system which is the foundation and the core of the GNC vehicle system is the key factor for the attacking accuracy of the precision guided munition(PGM). Due to the inherent defect and the complicating battlefield environment, single navigation system is out of the PGM’s requirement of high accuracy, intelligence, strong robustness and disguise. According to these reasons, it’s very essential to research on the information fusion algorithm for the integrated navigation system applied in the high flight-time and long flight-range vehicle.The dissertation focus on the information fusion algorithm in Reentry Maneuver Vehicle(RMV). Firstly, we discuss about the significance of information fusion in the integrated navigation and introduce the development at home and aboard, propose the global design of the integrated navigation system.What comes next is the coordinates and its transformation matrix of RMV. Analyzing the force and moment during the fly of RMV, and modeling the dynamic and kinematics model basing on the analysis in the launch coordinate and launch inertial coordinate. Through the analysis, the launch inertial coordinate is chosen as the most suitable navigation coordinate.Respectively, researching on the navigation method and error model of SINS, CNS and SAR. On the base of this, establishing the state formulation and observation formulation and design the INS/CNS, INS/SAR integrated navigation system. Researching on the effect of different error by simulation.Above all, in the view of the research above, designing the distributed fusion filter by Federated Kalman Filter(FKF).Constructing the Simulink simulation platform for comprehensive simulation, through simulation and analysis, the effectiveness and feasibility of integrated navigation system has been improved.