Design And Implementation Of Radar Target Detection And Tracking Algorithm

Data processing is an important part of radar system,which is widely used in military and civil industries.In recent years,the detection environment of air and ground is becoming more and more complex,which puts forward a severe test for data processing to correctly track the target.This paper mainly studies the multi-target detection and tracking based on radar system.In this paper,the uav is used as the observation target to generate the measured point traces of different motion models.According to the relatively close detection range and small Angle error in the radar system observation model,the EKF Algorithm is chosen as the basic filtering algorithm to track the target.MATLAB is used to simulate the target trajectory of different motion models,and the performance of the filtering algorithm is analyzed.Then the Interacting Multiple Model Algorithm is used to track the simulation target,and the error analysis and the probability analysis of each model are carried out.Finally,the CV model was selected to track the measured point traces,and the results were reported to the display terminal after the transformation of WGS84 coordinates.The problems encountered in the measured data are analyzed and the feasible solutions are given.In the process of track correlation,the method of nested wave gate is used for track initiation and track correlation in this paper,which reduces the probability of false track compared with the traditional correlation method.In the course of track filtering,an adaptive kalman filtering algorithm is proposed.Through the analysis of the target position deviation in several successive observation periods,an estimation value of the measurement noise is obtained,and the estimation is iterated continuously with the filtering process.The traditional extended kalman filter observation noise is a fixed value,the adaptive kalman filter algorithm can adjust the noise to match the real environment noise through iteration even if the initial value of the observation noise is not accurate.For the sudden maneuverability of the target,the method of double wave gate and adding auxiliary track is adopted to prevent the false maneuvering.Aiming at the practical engineering problems such as radar operating mode switching and dot-track sector input,this paper also gives the solutions.Finally,the data processing algorithm based on VS2013 is realized through the measured point trace data.