A Data Processing Method against Multi-False-Target Deception Jamming for Distributed Radar Network

To reject multi-false-target deception jamming,a data processing method was investigated for distributed radar network.The method involved three steps: multi-target tracking through single radar,trajectory association and test,serial filter and fusion.Firstly,multi-target tracking were performed independently by each of the radar in the network,and the trajectories of the true targets and false targets were obtained.Secondly,association and test were made for the trajectories obtained from different radars,on which basis the true targets' trajectories were kept and the false targets' trajectories were rejected.Finally,the trajectories passed the test were fused in the fusion center of the radar network,and the tracking accuracy of true targets was improved greatly.Simulation results show that radar network can reject the false targets effectively and track the true target more precisely using this method.