Phantom Track Identification for Radar Network Based on Multi-feature Fusion

摘要

To combat against surveillance radar network, the electronic coun-termeasure scheme of phantom track is employed by the cooperation of multiple electronic combat air vehicles. A modified method is presented to enhance the phantom tracks identification performance for radar network in this paper. The temporal-spatial information fusion trick is applied based on Dempster-Shafer evidence theory. The features of range-angle measure errors and power amplifier distortion are analyzed to identify the phantom track. Simulation results prove that the proposed method is feasible and capable of identifying the phantom track accurately.