Robust Jamming Resource Allocation for Cooperatively Suppressing Multi-station Radar Systems in Multi-jammer Systems

In this paper, aiming at the scenario of the multi-target formation attacks the multi-station radar (MSR) system, a robust jamming beam selection and power scheduling (RJBSPS) strategy is proposed for cooperatively suppressing the MSR system. The purpose of the RJBSPS strategy is to maximize the cooperative jamming performance of the multi-jammer system by optimizing the limited jamming resources. In the jamming environment, the information reduction factor-based posterior Cramér-Rao lower bound (PCRLB) provides a lower bound on the accuracy of target state estimation, the sum of the PCRLBs for multiple targets is adopted to evaluate the cooperative jamming performance of the multi-jammer system to the MSR system. In addition, the generalization error caused by the uncertainty of the MSR system parameter estimation is considered and combined with the resource optimization model. The formulated RJBSPS strategy, while subject to the limited jamming resource, is non-convex due to the coupled parameters. Thus, based on the particle swarm optimization (PSO), a two-step decomposition method is proposed. The simulation results show the effectiveness and robustness of the proposed robust resource scheduling strategy in degrading the multi-target tracking performance of the MSR system.