Research on Radar Intelligent Anti-Jamming Strategy Based on Game Theory

With the increasingly intense confrontation between radar and jammer, the complex electromagnetic environment poses a severe challenge to radar anti-jamming capability. The indepth research on the anti-jamming strategy of radar is required. An intelligent radar anti-jamming strategy based on game theory is proposed which aiming at adapting to complex jamming environments. We exploit models of the adversarial behavior hysteresis and Stackelberg game to establish an optimization of optimal income strategy for the radar search stage. Additionally, the time-dependent income is applied to establish an optimization of minimum implementation time strategy for the radar tracking stage. By integrating these strategies with trajectory optimization and maneuver control of the flight platform, the proposed framework enables intelligent decision-making and dynamic adaptation of anti-jamming model across different operational stage. Simulation experiments show that the anti-jamming efficiency of the joint game model is increased by approximately 15.8% compared with the conventional game strategy, and the task winning probability can reach 83%. The proposed strategy effectively enhances the anti-jamming ability of radar in practical application scenarios, and improves the probability of winning the game.