Target Information Fusion Method And Its Application For Multistatic Radars

Multistatic radar is a unified radar system consisting of one or more transmitters and one or more receivers(the number of receivers and transmitters need not be equal)that are placed at different bases.A bistatic radar with only one set of transmitters/receivers is the basic building block of a multistatic radar.The multi-static radar can detect,locate,measure speed and track the target,and has advantages in target recognition and anti-stealth,improving the target detection probability,improving the target positioning accuracy and track continuity,and enhancing the system's anti-interference ability and reliability special advantages.The multistatic radar is a multi-sensor network.By processing the target information measured by each node(sensor)by fusion,the special advantages of the multi-static radar can be more fully exerted.At present,the target information fusion methods used in multistatic radars are mainly plot fusion and track fusion.The traditional plot fusion method is limited in the use of the velocity information of each node,while the track fusion method has a large loss of target information in the local node tracking processing,leading to limited target tracking accuracy and track continuity.Aiming at the above problems,this dissertation develops a method of target state fusion based on distributed filtering.On the one hand,the multi-node distributed filtering can make full use of the target speed information.On the other hand,the fusion target state is used as the unified input of distributed filtering iteration.Make full use of the local node's target measurement information.Due to the higher utilization of target information,this method can obtain higher accuracy and continuity of target fusion tracking with less computational cost.On the basis of this method,a state optimization method based on joint multi-station positioning is further proposed.The best target state is optimized in the results of state fusion and multi-station joint positioning,and it is used as an iterative input for distributed tracking filtering to further improve the target.Track performance.Through computer simulation experiments,it is verified that the state fusion method based on distributed filtering has better target tracking accuracy and track continuity than the traditional plot fusion method and track fusion method.In addition to the simulation experiments for multistatic radars,a simulation experiment of single-base radar networking was conducted,which verified the universality of the target information fusion method.Through the fusion processing of measured data from multi-radio external radiation radars,the validity of the method and the optimization of the method are further verified...