Research on cognitive jamming decision making method of multifunctional radar based on PPO

The multifunctional radar (MFR) possesses robust anti-jamming capabilities, and effectively jamming with it is an urgent problem that needs to be addressed. This paper first analyzes the process of cognitive radar antagonism and subsequently constructs a jamming decision system with cognitive abilities based on real battlefield environments. An algorithm based on proximal policy optimization (PPO) is employed for the jamming decision algorithm to determine the optimal jamming strategy. Through simulation experiments, it has been demonstrated that the PPO-based jamming decision algorithm can learn the most effective jamming strategy in dynamic game conditions between radar and jammers. It exhibits faster convergence speed compared to traditional strategy gradient methods.