Characteristic Frequency Extraction of HVAP Based on Wavelet Analysis

摘要：

Bad shunt of track circuit is a common problem in railway signal system all over the world, the High Voltage Asymmetric Pulse (HVAP) track circuit is an effective solution to it. How to extract the characteristic frequency of HVAP is an important task. The Fast Fourier Transform (FFT) can analyze only stationary signals at single resolution. Wavelet analysis is an algorithm of multiresolution approximations, it can decompose a signal into high-frequency and low-frequency compositions. If the HVAP signal contains transient noises, its characteristic frequency can not be extracted using FFT. This paper proposes an algorithm of extracting the characteristic frequency of HVAP signal which contains transient noises based on wavelet analysis. And computer simulations show that this algorithm has not only anti-interference ability, but also high precision.

关键词： wavelet analysis High Voltage Asymmetric Pulse (HVAP) track circuit bad shunt

作者: Huang Zanwu Wei Xueye Qin Qingnu

作者单位: School of Electronic and Information Engineering,Beijing Jiaotong University,Beijing 100044,China

会议类型: 国际会议

会议名称: 2011 10th International Conference on Electronic Measurement & Instruments(第十届电子测量与仪器国际会议 ICEMI2011)

会议地点: 成都

会议语种:英文

页码: 983-986

在线出版日期: 2011-08-16（万方平台首次上网日期，不代表论文的发表时间）