Research on adaptive scheduling strategy of cooperative jamming resources for the anti-netted radar system

Abstract

Jamming resource allocation is an important step in implementing cooperative jamming. Traditional jamming resource allocation considers only the reduction of enemy radar detection performance but ignores the problem of mutual interference in the formation. Therefore, an adaptive scheduling strategy based on the Improved Sparrow Search Algorithm (ISSA) is proposed to improve the jamming efficiency and minimize mutual interference. First, the target detection model and the mutual interference model are established. On this basis, a two-factor objective function based on network detection probability and the degree of mutual interference is constructed. Then, a whole-process cooperative mechanism is proposed, and an improved circle algorithm and a whale predation strategy are introduced. These strategies are used to overcome the problems of slow convergence and local optimization in the standard sparrow search algorithm (SSA). Finally, the effectiveness and timeliness of ISSA are proved by simulation experiments.