Localization of non-reflective events in OTDR data combining DWT with template matching - Details

Author：

Zhang, Xiaohui (Zhang, Xiaohui.) | Zhao, Haoshu (Zhao, Haoshu.) | Sun, Guangmin (Sun, Guangmin.) (Scholars：孙光民) | Cui, Tingting (Cui, Tingting.)

Indexed by：

EI Scopus

Abstract：

A　new　method　of　detecting　and　localizing　non-reflective　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　de-noising,　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.　©　2011　IEEE.

Keyword：

Template matching Signal reconstruction Signal to noise ratio Image processing Discrete wavelet transforms Time domain analysis

Author Community：

[ 1 ] [Zhang, Xiaohui]Department of Electrical Engineering, Beijing University of Technology, Beijing, 100124, China
[ 2 ] [Zhao, Haoshu]Department of Computer Science and Technology, Beijing University of Technology, Beijing, 100124, China
[ 3 ] [Sun, Guangmin]Department of Electrical Engineering, Beijing University of Technology, Beijing, 100124, China
[ 4 ] [Cui, Tingting]Department of Information and Computing Sciences, Beijing University of Technology, Beijing, 100124, China