应用决策树的航天测控干扰识别方法

针对航天测控链路面临的无先验知识的干扰信号的识别问题，应用决策树的分类方法，提出了一种干扰信号识别方法。基于从属性到结论的方式，选取辨识能力强的特征因子，并将特征因子值作为每个树结点的属性值，与预设的门限进行比较判决形成类别集，并据此方式再对下一级的类别集进行判决，多次循环，反复比较，最终识别出干扰信号的类型及其调制方式。仿真结果表明，设计的决策树流程能够有效识别航天测控干扰信号。

Aerospace TT&C interference identification by applying decision tree

For the problem of identifying the interference signal without prior knowledge faced by aerospace telemetry,tracking and control(TT&C) link,an interference identification method by applying decision tree is proposed.According to the way from attribute to conclusion,the characteristic factors with strong identification ability are selected.The value of characteristic factors is taken as the attribute value of each tree node and compared with the preset threshold to form a category set.In this way,the category set of the next level is determined.After repeated cycles and comparisons,the type of interference signal and its modulation mode are finally identified.The simulation results show that the designed decision tree process can effectively identify aerospace TT&C interference signals.