A radar anti‐jamming strategy optimisation based on Stackelberg game

Radar is an important sensor in electromagnetic spectrum warfare. Its confrontation with naval vessels has become increasingly competitive recent years. However, current radar anti-jamming methods are limited to some extent complex environments, which poses a severe challenge radar's detection and capabilities. To improve the capacity of radar, authors propose Stackelberg game-based optimisation method enhance decision-making strategies. First, we analyse winning conditions by considering temporal constraints non-real-time recognition preparation actions construct actual utility matrix. Second, model under condition certain probability, update probability interval during game. Finally, discuss can obtain positive benefit game compare reinforcement learning method. The simulation experimental results show that proposed strategy significantly confrontation.