Bounded Rationality-Based Anti-Jamming Strategy Generation for Frequency Agile Radar

The emergence of mainlobe jamming has become a significant challenge for the radar, and it is particularly urgent to effectively combat it. Considering that both sides cannot achieve complete rationality in reality, this paper analyzes the competition between frequency agile radar (FAR) and mainlobe jammer from the perspective of evolutionary game theory. Firstly, the signal models of the FAR and jammer are established. Based on these, the three elements of a game are formed: players, actions, and utility functions, and the anti-jamming evolutionary game is constructed. Then, the concept of replicator dynamics is introduced to solve the game. The simulation results reveal the strategy evolution process of both sides during the evolution process, providing support for effective radar anti-jamming under bounded rationality.