基于动态贝叶斯网络的弹道导弹态势评估模型研究

摘要

Considering the characteristics of ballistic missile situation assessment(BMSA), the paper analyses the battle process of BM and battle characteristics active phase of BM. On this foundation, givig dynamic bayesian network(DBN) is used for the upbuilding model process of BMSA, establish model of BMSA based on dynamic bayesian network. Finally, the model is usefulness by imitated the true example and imitate to the model really according to the data sensors observe, the simulation result shows that the dynamic Bayesian network can be seasoned with model of BMSA, and the model can estimate situation of ballistic missile quickly and accurately.%针对弹道导弹态势评估的特点,分析了弹道导弹的作战过程和弹道导弹主动段作战特点.在此基础上,给出了动态贝叶斯网络用于弹道导弹态势评估的建模过程,建立了基于动态贝叶斯网络的弹道导弹态势评估模型,并依据观测到的数据对模型进行了仿真,结果表明,将动态贝叶斯网络应用于弹道导弹的态势评估模型是可行的,该模型能够对飞行中的弹道导弹态势快速准确作出评估.