基于频谱的机场周边宽带电磁干扰源识别  

Identification of wideband EMI sources around airport based on spectrum

作　　者：周涛 朱峰[2] 林川[2] 唐晋生 Zhou Tao;Zhu Feng;Lin Chuan;Tang Jinsheng(School of Physical Science and Technology,Southwest Jiaotong University,Chengdu 611756,China;School of Electrical Engineering,Southwest Jiaotong University,Chengdu 611756,China)

机构地区：[1]西南交通大学物理科学与技术学院,四川成都611756 [2]西南交通大学电气工程学院,四川成都611756

出　　处：《电子技术应用》2020年第6期86-92,100,共8页Application of Electronic Technique

基　　金：国家重点研发计划(2018YFC0809500)。

摘　　要：为了识别机场周边电磁干扰源,对多种干扰进行频谱数据采集,基于干扰源物理特性,进行人工特征提取,选取包络峰值、频谱能量、变异系数组合成识别特征集。使用熵值法衡量特征集的离散度,突出类内特征值集中、类间差异大的特征值点,赋权得到一个双加权的特征模板。将每个特征模板映射为高维空间的一个点,计算模板点与测试点的欧式距离,使用均值方差法进行阈值划分,用模板匹配的方法进行模式识别。实验结果说明此方法性能稳定,且快速高效,对机场周边的宽带电磁干扰源识别率高,具有较高的实用价值。In order to identify the electromagnetic interference sources around the airport,the spectrum data of various interference sources around airports are collected.The characteristics of interference sources are summarized and artificial features are carried out.The peak value,spectrum energy and coefficient of variation are selected as identification features.Entropy method is used to measure the discreteness of feature set,and the feature points with similar feature values within class and big differences between classes are highlighted.Finally,a double weighted feature template is obtained by weighting.Each feature template is mapped to a point in the high-dimensional space,the Euclidean distance between the template point and the test point is calculated,the threshold is divided by the mean variance method,and the pattern recognition is carried out by the template matching method.The experimental results show that this method is stable,fast and efficient,and has a high recognition rate of wide-band EMI sources,which has practical value for interference sources identification around the airport.

关 键 词：电磁干扰 人工特征提取 模板匹配 干扰源识别 

分 类 号：TP274.2[自动化与计算机技术—检测技术与自动化装置] V243.1[自动化与计算机技术—控制科学与工程]