A Review of Intelligent Opponent Modelling Research for Air Combat Simulation Training

Air combat simulation is an important way to improve the combat capability of pilots, and virtual intelligent opponents have become an important part of the fighter simulation training system. In recent years, the rapid development of artificial intelligence technology has greatly promoted the development of air combat intelligent opponent modelling technology. With powerful self-learning and decision-making capabilities, intelligent virtual opponents are able to help pilots complete complex tactical training. At the same time, the large amount of training data in the virtual environment provides for the iterative optimization of intelligent opponent modelling technology. To promote the development of intelligent opponent modelling technology in air combat simulation training systems, this paper analyses the situational awareness, autonomous decision making, self-confrontation optimization methods and anti-interference technology of intelligent agents from key technologies such as deep learning and reinforcement learning to provide support for the development of air combat simulation training systems.