Assessment Model of Anti-missile Situation With Variable Structure Dynamic Bayesian Network

To achieve the assessment of anti-missile situation on the basis of anti-missile early-warning surveillance system,this paper extracts the five key events in the operation of anti-missile by analyzing the anti-missile operating process,according to the demand of anti-missile operating command,and constructs an assessment model of variable structure situation driven by the key events,based on Dynamic Bayesian Network(DBN).And the simulative tests on this situation assessment model are also performed by using Matlab software in this paper.Simulation results show that the assessment model can reflect the change of battle field situation as the anti-missile battle field changes and its reasoning time can also meet the requirement for real-time,thus offering a reason for commanders’command and making-decision.