冲击干扰下高压不对称脉冲特征频率提取算法  

Extracting the Characteristic Frequency of High Asymmetric Pulse Disturbed by Impulse

作　　者：黄赞武[1] 魏学业[1] 刘泽[1] 

机构地区：[1]北京交通大学电子信息工程学院,北京100044

出　　处：《铁道学报》2012年第12期71-75,共5页Journal of the China Railway Society

基　　金：国家自然科学基金(61050001)

摘　　要：电气化铁路中的不平衡电流,尤其是电网冲击干扰电流,已经成为轨道电路系统主要的干扰源,如何减少冲击干扰的影响成为越来越紧迫的课题。FFT是在轨道电路信号特征参数提取中普遍使用的解调算法,只是FFT有其自身的局限性,不能对非平稳信号进行分析,而小波分析方法是一种时频分析方法,可以将高频信号和低频信号分离,在处理非平稳瞬时信号时有明显的优势。本文以高压不对称脉冲轨道电路为例,提出一种基于小波分析提取高压不对称脉冲信号特征频率的算法。通过计算机仿真,此算法不仅具有一定的抗干扰能力,而且具有较高的精度。In electrified railways,the imbalanced currents,especially the impulse currents,have become a major source of interference in track circuit systems.How to minimize the impact of this kind of interference becomes more and more urgent.FFT is an algorithm commonly used in track circuit signal feature extraction,however,it has some limitations.FFT can not analyze non-stationary signals.Wavelet analysis is a time-frequency analysis algorithm,it can separate high-frequency signals and low frequency signals.It has a great advantage in dealing with non-stationary transient signals.This paper proposed an algorithm of extracting the characteristic frequency of high asymmetric pulses based on wavelet analysis.Through computer simulation,this algorithm is proved to possess a certain anti-interference ability and very high precision.

关 键 词：小波分析 高压不对称脉冲 轨道电路 冲击干扰 

分 类 号：TP391[自动化与计算机技术—计算机应用技术] U284.2[自动化与计算机技术—计算机科学与技术]