Abstract:

Aiming at phantom track deception released by electronic combat air vehicles(ECAVs) formation for distributed radar network, a discrimination method is proposed, which is based on the inspection of innovation. Firstly, the position error of the phantom target introduced by ECAV is explored with its influence for the radar measurement. And in this basis, the phantom track is filtered using the Kalman algorithm. The normalized innovation square is constructed during the filtering and the statistical testing is used to utilize the discrimination work for single radar. M/n logic is carried out to enhance the reliability of the judgement, and it also reflects the advantage of the radar network. Simulation results show that phantom track can be discriminated by using the proposed method.