Real-time aviation decision based on Structure Variable Bayesian Network

By premeditating the variables which affect the Helicopter´s real-time aviation decision process, first of all, this paper presents the derivation of the forwards algorithm based on Structure Variable Discrete Dynamic Bayesian Network which is effective in combining previous feature information to make better real-time decision. Then a aviation decision model based on this algorithm is established in this paper as an example. The simulation results of this model successfully demonstrate that the Structure Variable model in this paper could take both the effects of time factor and the suddenly missing or emerging variables into consideration which is important to make a right decision. Thus the model could be used in real-time aviation decision process in perpetual variational air combat.