Abstract：In order to improve the tracking performance of local sensors in distributed multisensor data fusion systems,this paper discusses the state estimation technique of multisensor tracking with feedback information.Based on the single sensor Kalman filtering equations and distributed estimation solutions with feedback information,this paper presents the track fusion equations with and without feedback information in multicoordinate systems,and proves that two kinds of track fusion solutions are optimal and equivalent in the form of the theorem.The simulation results show that the multisensor data fusion system can not only increase the global estimation accuracy of target but also greatly improve the tracking performance of local nodes by using the feedback information.With respect to multiradar integration tracking,it is suitable for using 2～4 local sensors in data fusion system.
2000, Vol. 22 
