Adaptive Design Of Radar Tracking Gate And Research On Multi Station Data Fusion Method

With the increasing progress of radar science and technology and the continuous improvement of radar performance,the application of radar in military and civilian fields has become more and more common.Radar data processing technology is an indispensable key technology in the field of radar and has been a hot research topic,while target tracking is a crucial task in radar data processing.In the process of target tracking,the radar measurement data is often accompanied by many irrelevant traces outside the target,such as radar false alarms,environmental interference and enemy interference,etc.If the tracking wave gate is large,these irrelevant traces will fall into the tracking wave gate in large numbers,affecting the target tracking accuracy;if the tracking wave gate size is small,with the change of the target motion state,it will lead to target loss.In addition,with the increasingly complex modern battlefield environment and the development of computer communication and other technologies,the traditional single-station radar is no longer perfect for the target tracking task,and the multi-site radar cooperative target tracking has become the mainstream trend.In this context,the main work of this paper is as follows.1、The whole process of radar target tracking data processing is studied and analyzed,mainly including track initiation,data correlation,track prediction and filtering,and track management.Firstly,the coordinate systems commonly used in target tracking are introduced,and their advantages and applicable environments are analyzed;secondly,the motion model of the target is constructed,and its motion characteristics are studied;then,the track processing algorithms are studied,mainly including kalman filtering,logical method track start,etc.Finally,a track state control word array is proposed,through which the track start,tracking,extinction,merging Finally,we propose a track state control word array,through which the track start,tracking,extinction and merging are effectively controlled.2、For the wave gate design problem in radar data processing,an adaptive wave gate design method based on Gaussian distribution is proposed.First,the distribution characteristics of the error between the predicted value of the target and the observed value of the radar in the radar data processing are studied,and the simulation shows that it shows the characteristics of Gaussian distribution.Then,a certain number of error values between the predicted and observed values are successively selected to generate an error sequence and calculate its mean and standard deviation.Finally,based on the Gaussian distribution function and the correlation probability parameter,the correlation wavegate size is calculated.This method greatly reduces the probability of irrelevant point traces falling into the correlation wavegate under the constraint that the target point traces fall into the correlation wavegate with a high probability.3、For the problem of poor target tracking accuracy of traditional single-station radar,the multi-station radar data fusion method and station deployment method are studied.Firstly,two basic systems of radar data fusion are studied: centralized fusion and distributed fusion system,their basic structures and common algorithms are analyzed,and simulations are performed to verify them.Then the effect of the number of radar stations and the spatial distribution of radar stations on the target tracking accuracy is investigated by using the centralized fusion system and combining with Geometric Dilution Of Precision(GDOP).Finally,the designed wave gate is further optimized by using the quantitative data obtained from the multi-station radar data fusion.The experimental results prove that the target tracking and positioning accuracy can be greatly improved by choosing the appropriate number of radar stations and reasonable station distribution.