Study On The Methods Of Targets Threaten Ordering In Situation Assessment

As a significant subject in the contemporary scientific research field, information fusion technology has got more and more attention and researches in modern military field. Situation and threat assessment are the senior process in the information fusion system. They can be used as a decision aid of the battlefield commanders, and can improve the fast judgment ability. Combined with the modern air defense combat, the problem of air-targets threat ordering has been studied in this paper. The paper has done at least the following work:Firstly, the author has analyzed the influence factors affected the threat degree, and the uncertainty reasoning mechanism based on cloud model is designed. As the cloud model variable has been set, the reasoning rule library has been established, and the weight of factors has been determined by the method of Analytic Hierarchy Process. According to the simulation experiments, the results show that the method is reasonability and effectiveness.Secondly, based on the combination evaluation theory, the author has used five methods to solve the problem of threat ordering. The five methods have been consistency tested, and the results of various methods have been optimum processed by using the optimization model. The experiments show that the method could make full use of the targets information, and it is more objective.Lastly, the parallel computing method has been introduced. The author has designed the parallel algorithm about the former methods cloud model reasoning and combination threat ordering. He applied it to solve the problem of real-time in processing a large number of targets data. By this method, the running time has been reduced obviously, and this method meets the demand of real-time in modern war.This research is supported by National Nature Science Foundation (No. 60872548).