Ajamming Resource Allocation Strategy Based on Differential Evolutionary Algorithm

To enhance the cooperative jamming effectiveness of distributed jammers against radar networks, this paper introduces a threat assessment and jamming allocation strategy grounded in combinatorial optimization. We meticulously consider the influencing factors in the confrontation between jammers and radars. Based on this threat assessment, we devise a cooperative jamming strategy for three jammers targeting six radars. The differential evolution algorithm is employed to solve the objective function. Simulation results indicate that the jamming strategy derived from this method can effectively diminish the threat posed by grouped radars under various constraints, thereby augmenting the breakthrough capability of jammer platforms within the radar network.