基于小波变换的轨道电路移频信号奇异性检测  

Singularity Detection of Track Circuit Frequency-shift Signal Based on Wavelet Transform

作　　者：汤长春[1] 金晓宏[1] 吕浩炯[2] 怀猛[1] 

机构地区：[1]武汉科技大学机械自动化学院,湖北武汉430081 [2]株洲南车时代电气股份有限公司安全装备事业部,湖南株洲412001

出　　处：《机车电传动》2006年第5期54-56,共3页Electric Drive for Locomotives

摘　　要：针对当前移频自动闭塞系统采用时域分析方法处理轨道电路移频信号显示出准确率不高等问题,引入小波变换的Mallat算法,借助Matlab,通过对实际信号的数字处理,得到用coif5小波基6层分解和相应阈值可以有效地分析和判断轨道移频信号的结论。The accuracy is not very high when time domain analysis method is used to process track circuit frequency-shift signal for the FSK auto-block system. Mallat algorithm of wavelet transform is introduced as the solution. With Matlab and through the digital processing of actual signals, the conclusion is made that with the decompositions of six layers of coif5 wavelet and the threshold value the track circuit frequency-shift signal could be analyzed and judged effectively.

关 键 词：小波变换 移频信号 奇异性检测 MALLAT Matlab 分解 阀值 轨道电路 

分 类 号：U284.2[交通运输工程—交通信息工程及控制]