By The Radar Measurement Data And Relief Distance Algorithm

The miss distance between the missile and target is very important for people to judge the performance of a missile on the target drone. This thesis mainly discusses the measurements of miss distance based on the data of the missile and target obtained by radar detecting and capturing.Combining Debiased Statistics of 3-dimensional Converted Measurements, Two filtering algorithms for data processing are developed based on the Adaptive Input Statistics Model and "Current" statistical Jerk Model. Besides a new Interacting Multiple Model Adaptive Filtering Algorithm is presented. In this algorithm, constant velocity model, constant acceleration model and adaptive input staticatics model are running in parallel. Target status estimation is the result of interacting of these three models. During the course of the intersection between the missile and target, it is difficult for radar to distinguish them. But we can estimate the coordinate of the intersection point by extrapolation technique based on the foregoing data of the missile and target obtained by radar detecting, consequently the miss distance can be estimated. The results of simulations demonstrate that the method of this thesis can meet the demands in accuracy of practical use.