基于分层动态贝叶斯网络的武器协同运用

Weapon Cooperative Operation Based on Hierarchical DBN

在多种软硬武器的条件下,如何进行有效的武器运用,做出一个最适合于当前态势的武器运用方案是一个重要的问题。给出一个基于动态贝叶斯网络的武器协同运用模型,结合不同时刻的空战态势,能够综合所有的信息,对软硬武器综合做出决策,从而对武器运用的发射时刻以及数量由定性逐步定量分析。此时构造出的模型能够最大限度的考虑多种因素,保证了决策的有效性和鲁棒性,避免武器运用中的随意性。

In the context of multi soft-kill and hard-kill weapon, how to operate the weapon efficiently and make a scheme that suits the current situation bestly is an important problem. The paper presents a weapon cooperative operation, construct a dynamic bayesian network combing situation in different time slices and make a comprehensively decision to the soft and hard weapon in order to achieve the best combat effectiveness. At this time, the model considers many kinds of fac- tor to the best point and can guarantee the validity.