Anti-Deception Jamming Power Optimization Strategy for Multi-Target Tracking Tasks in Multi-Radar Systems

In this paper, a power optimization (PO) strategy is proposed to combat deception jamming in multi-radar systems (MRSs) performing multi-target tracking (MTT). As a crucial parameter for distinguishing between physical and false targets in MRS under deception jamming, we propose integrating the deception range into the augmented target state to be estimated. The posterior Cramér-Rao lower bound (PCRLB) of the target location parameter is adopted as the tracking performance metric. Using the predicted PCRLB of deception range in the augmented target state, a discriminator is designed to improve the rejection probability of false target. Tracking PCRLBs for physical targets and rejection probabilities for false targets are calculated and used to build the objective function. Considering resource constraints, the anti-deception jamming PO problem is formulated and solved. Numerical results demonstrate the effectiveness of the presented PO strategy for MTT in discriminating false targets.