A robust target intention recognition method based on dynamic bayesian network

The enemy's tactical intention is one of the important basis for the commander's decision. The accuracy and timeliness of the judgment of the enemy's tactical intention will directly affect the correctness and effectiveness of our combat command decisions. In this paper, a robust target intention recognition method based on dynamic bayesian network is proposed. Self-organizing feature maps is introduced to preprocess the track information to estimate the stable heading of the target and various characteristic factors related to the air target combat intention are integrated to construct a dynamic bayesian network model for the recognition of the enemy's target intention. In the simulated air combat scene, the proposed method can effectively realize combat intention recognition.