Fusion Inference Identification of Combat Targets Based on Dynamic Bayesian Network
Wang Lian-liang · Telecommunication Engineering · 2012
To realize reliability identification of targets in air battlefield,integrated inference for combat target identification is proposed based on dynamic Bayesian network(DBN).Combat targets′ attribute variable and its states are analysed,a hierarchy DBN is built for combat identification,then the way of obtaining network parameters is discussed.Uncertain dynamic reasoning is made based on Joint Tree algorithm of time slice and decision of targets′ attribute is made dynamically.Simulation study gives targets′ multi-hierarchy attribute and shows that the proposed method is effective.