Research On Data Fusion For Target Tracking

With the rapid development of modern science and technology,target tracking and data fusion technology is widely used in various fields.Target tracking is an important component of radar data processing,and its core is the tracking filter algorithm,which directly determines the performance of system tracking.Data fusion is a data processing method,the main idea is utilize the effective resources to integrate the data information from multiple sensors,on the way to extract the information of tracked target,so as to improve the tracking accuracy and stability of the system.This paper studies the data fusion method based on target tracking,which are as follows:Firstly,to solve the problem of data association,this paper proposed the multi-sensor data association algorithm based on FCM-DFA.In the multi-sensor information fusion multi-target tracking system,multi-objective motion projection is established in the observation space of different sensors,multiple sensor systems decomposed into single sensor problems.Considering the track crossing problem,the discriminative feature are introduced to improve tracking accuracy and decrease the error correlation possibility when the track is crossed and in the dense clutter environment.Compared with nearest neighbors association algorithm,FCM-DFA has better tracking accuracy.Secondly,based on the research of EKF and information theory,we obtain information state vector and information matrix by the inverse of covariance form,linearize the observe matrix which has been extended;then,we can get the state vector and state covariance matrix of EKF-IF.Then the UKF-IF is designed,embed UT transformation in EKF-IF,after the fusion estimation update,estimate state and covariance matrix can be figured out.The EKF-IF is compared respectively with the EKF-MWFA and the UKF,-IF simulation results show that EKF-IF has a better performance than EKF-MWFA,and UKF-IF has better tracking precision than EKF-IF.Finally,in order to reduce the radar number on the radar network system,the radar selection algorithm based on data fusion is proposed.On the basis of sensor management theory based on covariance control,the radar selection algorithm based on information gain is designed,and the tracking accuracy can be estimated by EKF-IF.The effectiveness of the method is validated by the simulation.