贝叶斯网络在战术态势评估中的应用

Application of Bayesian networks in tactical Situation assessment

首先提出了一种新的战术态势评估的定义,即战术态势评估是对特定战场环境中敌方、我方、中立方所具有的各种战斗力要素的当前状态的描述和未来发展趋势的预测。接着介绍了空-地战中红方飞机与蓝方导弹阵地的对抗场景,在此基础上建立了红方飞行员通过机载电子装备的状态判断蓝方高射武器的型号和状态的贝叶斯网络,然后运用所建立的网络动态演示了在空-地战中态势评估的内容和结果,最后讨论了在战术态势评估中运用贝叶斯网络的若干问题。

Firstly, a new definition of tactical situation assessment is presented,i.e., the tactical situation assessment is the description of current states of enemy forces, our forces and friend forces' battle effectiveness factors in a certain battle environment and the projection of their status in the near future. After that a brief description of an antagonistic scenario of the red army's planes and the blue army's missile positions in air-ground battle is given. Based on this commonsense knowledge a belief network is set up for the red army's pilots to judge the blue army's antiaircraft weapon's identification and states by their on-board electronic equipment. Then the contents and results of tactical situation assessment in air-ground battle are presented dynamically with this network. Finally, several problems on how to use Bayesian networks in tactical situation assessment are discussed.