Aerial Target Recognition Based on Multi-entity Bayesian Network

Air target recognition is the basis of air combat situational awareness and threat assessment, as well as an important basis for air combat decision-making. Higher and higher target recognition capabilities are required in modern air combat. According to the characteristics of aerial targets, the target features of the entity model are selected. Then, an optimized Multi-entity Bayesian network target recognition model is established, and the inference algorithm of the multi-entity Bayesian network is analyzed. Simulation results show the stability and accuracy of multi-entity Bayesian network in aerial target recognition.