Research On Autonomous Information Fusion Algorithm Of Navigation System Of Morphing Missile

Based on the morphing missile flying fast cross-domain autonomous navigation information fusion method as the research target,according to morphing missile flying across the airspace working environment variable,strong dynamic,single navigation sensor difference with availability,all-weather work etc.,based on the double arrow on board morphing missile inertial navigation motor identification method,multiple source navigation system based on usability analysis decision algorithm,nonlinear filtering algorithm based on ANFIS neural network correction and navigation of multi-source data fusion method based on factor graph was studied,and put forward a kind of deformation based on bayesian estimation factor diagram missile autonomous navigation information fusion method,The feasibility and availability of the algorithm are verified by the simulation of multiple working conditions.The main research contents are as follows:First of all,make morphing missile inertial main navigation system modeling,in view of morphing missile flight airspace,high dynamic flight characteristics,wide profile analysis using data acceleration and angular velocity data profile analysis,build a comprehensive data profile analysis method,the dynamic characteristics of a missile whole are identified,based on prior information for sensor usability analysis.For various navigation sensor in deformation can't work all the time in the process of missile flight,the availability of the navigation system is analyzed.In the case of fully considering morphing missile target to build sensor fusion decision standard and process,respectively,based on single factor and multiple factors also consider availability of deformation under the condition of missile sensor decision analysis,put forward based on usability analysis system of multi-source navigation sensor decision fusion method,nonlinear filtering algorithm for deformation of missile autonomous navigation and autonomous navigation information fusion provide decision support.In view of the characteristics of high dynamic and multi-maneuverability,noise compensation is made for the nonlinear filtering method of combined navigation of morphing missile.The error characteristic statistic clustering in the first place,as the training sample of adaptive fuzzy network was trained,and then by using adaptive neural network fuzzy inference(ANFIS)to the traditional Kalman filtering algorithm is optimized,put forward the adaptive nonlinear filtering algorithm based on ANFIS optimization,data fusion to support for information fusion.In order to solve the problem of autonomous navigation information fusion under the condition of rapid transregional flight of the morphing missile,a multi-source navigation data fusion algorithm based on factor tubayes estimation was proposed.Firstly,the overall design of the information fusion method based on factor graph is carried out,and the related concepts and the model theory of factor graph are explained.Then,the factor graph model is used to represent the motion estimation of multi-source navigation data fusion to determine the data structure of the system factor graph.Finally,the information fusion algorithm is constructed and simulated.In this paper,we study morphing missile flying fast cross-domain autonomous navigation information fusion methods,make full use of the INS,visual/ir navigation,GNSS,PNS,FADS such as navigation system realized the full time,all-weather,across the airspace,the combination of high dynamic navigation.Study shows that the information fusion method for deformation in the process of missile flying high dynamic,wide spatial environment has the strong ability to adapt to the navigation precision is improved effectively.