摘要
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。
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.
出处
《无线电工程》
2014年第10期69-72,76,共5页
Radio Engineering
基金
国家高技术研究发展计划("863"计划)基金资助项目(2012AA121801)
关键词
特征参数
特征提取
决策分类器
调制识别
characteristic parameters
feature extraction
decision classifier
modulation recognition
作者简介
蔡建平男，（1964－），高级工程师。主要研究方向：卫星导航。
范广伟男，（1982－），博士研究生。主要研究方向：卫星导航自适应抗干扰、抗多径和干扰监测等技术。
