Phantom track generation for radar network deception in the presence of inaccuracy in the radar position

Radar network deception through phantom track generation using cooperative unmanned aerialvehicles (UAVs) is an effective way of encountering sophisticated radar networks. In previousstudies a method based on virtual motion camouflage (VMC) and path control parameter (PCP)has been developed to design the trajectory of cooperative UAVs during the phantom trackgeneration mission. In these studies, the radar locations are assumed to be known. In realsituations, the knowledge of radar locations has an inaccuracy. The radar position inaccuracyleads to an incoherent phantom track. The radar network can recognize the phantom trackaccording to the distance between the false targets created by each UAV. In this paper, the effectof the inaccuracies of the radar position on the generated phantom track is considered. Byadding a constraint that limits the flyable range of UAVs, the phantom track is generated suchthat the probability of the radar network detecting the deception is minimized. The mentionedconstraint is specified based on the maximum radar position inaccuracy, the radar error, and thefalse target trajectory. The simulation results show that using this constraint in the trajectorydesign for UAVs, reduces effectively the recognition rate of the phantom track for variousranges of inaccuracies.