Research on Recognition Method of Maneuver and Formation Tactics in BVR Cooperative Combat Based on Dynamic Bayesian Network

With breakthroughs in modern weaponry and equipment technology and coordinated formation flying, coordinated operations beyond visual range have become the main form of modern air combat. Accurately identifying enemy maneuvers and formation tactics is of great significance for grasping the dominance of the battlefield and grasping the direction of war. Traditional situation assessment research lacks pertinence to coordinated formation tactics and strategies in the BVR battlefield. This paper considers the influence of the characteristics of BVR fighters on tactical strategies, analyzes the causal relationship between the characteristics of flight parameters and the evolution of tactical movements, and constructs a dynamic Recognition model of typical maneuver movements beyond the visual range based on Bayesian network; on this basis, a recognition model of cooperative formation tactics is constructed. Finally, simulation experiments verify the accuracy and effectiveness of the model’s recognition. Further, this model can be used as a threat module of the beyond-horizon cooperative formation tactics for the Air combat situation assessment.