基于瞬时参数提取的干扰类型识别方法

摘要

Aiming at realtime recognition for interference types in interference signals monitoring,this paper puts forward a recog-nition method based on instantaneous interference signal parameter extraction,the method uses the classification decision tree structure to sort a group of recognition characteristic parameters with SNR insensitivity and implement the classification and recognition for six kinds of common interferences. This classification recognizer has a simple structure and is easy to implement realtime processing. The simulation results show that the classification algorithm can possess 95% correct recognition rate to six kinds of interference signals when the signal noise ratio is not less than 5 dB.%针对干扰信号监测中对干扰类型进行实时识别的问题，提出一种基于瞬时参数提取的干扰信号识别方法，采用树形决策分类器结构，分选出一组对信噪比不敏感的识别特征参数，实现了6种常见干扰的分类识别，该分类识别器结构简单，易于实时处理的实现。仿真结果表明，在信噪比不低于5 dB的情况下，该识别分类算法对不同类型的干扰信号均能实现95％以上的正确识别概率。