Error Restriction And Fusion Processing For Trajectory Measuring Data Of The Encounter Section

During the whole encounter process of missile and target,the miss time is the most important moment in the encounter section.In order to improve the attack precision and the damage degree,to getting high precision miss-distance parameters estimation and then calculate the moment when the distance of the missile and the target is the nearest is one of the most important premises.The existing methods of parameter estimation theory are already mature,but,aim at the air-to-air missile test and the encounter section tracking data,how to create a method conform to the characteristics of the test model and the tracking data is one of the key link in the process of the data processing.Give the air-to-air missile test as the main research background,combined with the processing procedure of trajectory tracking data in the encounter section used in the range,the methods about restrict the random error in the measuring data,optimal fusion problem about measuring data and improved algorithm about the encounter section data processing are being researched.The coupling random error restriction method and the optimal fusion weight of unequal precision linear model is the key research in this paper.Taking the differential geometry,multi-scare analysis,regression analysis and the function approximation theory as the researching tools,the processing method of trajectory tracking data in the encounter section is studied.The mainly working content and innovations are as follows:1.Aim at the characteristics that the missile attitude angle in the measuring processing is spatial correlation and coupling,the multi-scale analysis method in the high-dimensional data set be introduced,associated with the differential geometry theory,the characteristics of the high-dimensional data set be studied,and the processing method of coupling data in the high-dimensional data set is proposed combine with the traditional wavelet method.Based on this method,the correlate data can be used better and improve the accuracy of error restrict and reduce the loss of information.2.Based on the present situation of the multi measuring equipment and redundancy measuring data,set the least square estimation criteria as the premise,the theory about optimal fusion weight of the unequal precision linear model is study,and the accuracy is analyzed.What is more,the iterative algorithm about the nonlinear least square problem is introduced,and some applications fits the practice engineering are proposed,and the theoretical support of the test design and data selection method are provided.3.Combined with the traditional flow of the trajectory tracking data processing method in encounter section about air-to-air missile,the each link in the whole process are systematically analyzed.The restrict method of the coupling random error and the optimal fusion way about the linear model are used in the processing of the short trajectory.The fitting method of the short trajectory tracking data is studied.Based on the calculation in the traditional distance parameter,the optimized calculation method about distance parameters is proposed,and the efficiency and accuracy of data processing is improved.