A Novel Ground Target Filtering Algorithm for Airborne Early Warning Radar

The ground target filtering,which can improve quality of target track effectively,is an important part of track optimization in airborne early warning radar.Practically,it's a problem of air target and ground target classification.On the basis of introducing joint target tracking and classification,a method of target classification based on kinematic feature difference between air target and ground target is proposed.First,interactive multiple model(IMM) containing all possible maneuvers of target is used to perform target tracking,and then the estimated target kinematic features parameters and Bayesian classifier are adopted to perform target classification.The simulation results show that the method can implement classification of air target and ground target effectively when the targets in maneuvering.