Localization of Non-reflective Events in OTDR Data Combining DWT with Template Matching

摘要：

A new method of detecting and localizing nonreflective events in optical time-domain reflectometry (OTDR) data based on biorthogonal wavelet transform and template matching is proposed in this paper. According to the non-stationary characteristics of OTDR logarithmic measurement data, discrete wavelet transform(DWT) is used to detect and coarsely locate the non-reflective events, and then the locations are determined at high accuracy by using template matching. The result shows that without the requisition of pre-treatment like denoising, the proposed method is able to locate the events accurately both in the low and high SNR levels, which proves that the algorithm is robust and adaptive for noisy OTDR data.

关键词： Fibre event detection and localization DWT Multi-resolution singularity detection Noise level estimation Template matching

作者: Xiaohui Zhang Haoshu Zhao Guangmin Sun Tingting Cui

作者单位: Department of Electrical Engineering, Beijing University of Technology, Beijing, 100124, China Department of Computer Science and Technology, Beijing University of Technology, Beijing, 100124, Ch Department of Information and Computing Sciences, Beijing University of Technology, Beijing, 100124,

会议类型: 国际会议

会议名称: 2011 4th International Congress on Image and Signal Processing(第四届图像与信号处理国际学术会议 CISP 2011)

会议地点: 上海

会议语种:英文

页码: 2303-2307

在线出版日期: 2011-10-15（万方平台首次上网日期，不代表论文的发表时间）