基于贝叶斯网络的空中目标威胁估计算法

联合作战条件下,指挥决策人员在海量描述战场态势的数据和信息面前往往会束手无策,无法快速作出正确的决策。贝叶斯网络模型是一种基于概率推理的网络化数学模型,能够通过一些变量的信息来获取其他的概率信息,从而解决不定性和不完整性问题。提出了一种基于贝叶斯网络的空中目标威胁估计算法,用空中威胁网络模型找到空中威胁目标各属性之间的潜在关系,并建立空中目标威胁估计算法,最后以一个实例来验证该空中目标威胁估计的计算过程和有效性。

Air Threat Assessment Algorithm Based on Bayesian Networks

The commanders and decision-makers are often unable to make the right decision quickly in the face of massive data and information described in the battlefield situation under the joint operations. The Bayesian network model is a mathematical model of the network based on probabilistic reasoning,and able to obtain the probabilistic information of other variables from some variables. So,it can solve the problem of uncertainty and incompleteness. An air threat assessment algorithm based on Bayesian networks is introduced. The potential relationships among these properties of the air threat goals can be found with this air threat model,and air threat assessment algorithm is established based on this model. In the end,an example experiment is used to verify the computation and validity of the air threat assessment algorithm.