Intelligent Target Maneuverability in Presence of Tracking with Multiple Radars

A scenario with multiple radars connected to a fusion centre and tracking a target endowed with cognitive abilities is considered. The aim of the target is to degrade the performance of the radar network using its cognitive abilities. In the embodiment considered in this paper, the target injects interference that perturbs the measurements at the different radars. The injected interference is designed to maximize the trace of the error covariance matrix in each instance of the extended Kalman filter iterations used at the fusion centre. The optimal interference in such a setting is formulated as a convex problem and its structure reveals a low-rank correlated structure unlike the intuitive additive white noise. Relation to water-filling is drawn and the impact of such an interference is subsequently analysed using numerical simulations.