基于模糊决策树的机载多传感器智能管理方法

Airborne multi-sensor management methods based on fuzzy decision tree

针对机载多传感器调度管理的困难,提出基于模糊决策树的机载多传感器智能管理方法。该方法将作战阶段与目标类型相结合,构建不同目标属性,建立基于目标类型的模糊决策树模型,在此基础上建立机载多传感器动态智能管理模型,并进行空战仿真验证。仿真结果表明该方法与作战阶段动态相关,能快速有效地完成机载多传感器调度管理。

In view of the difficulty in the management of airborne multi-sensor,a fuzzy decision tree algorithm was applied to multi-sensor intelligent management.Operational phase of the method was combined with the target type to build different target properties and establish fuzzy decision tree model based on target type.Thus,a multi-sensor airborne dynamic model of intelligent management was set up,and air combat simulation was carried out.The simulation results show that the method can compose battlefield objectives and tactics effectively,and complete airborne multi-sensor management rapidly.And the method is reasonable and effective.