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作者:

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

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摘要:

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.

关键词:

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

作者机构:

  • [ 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

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年份: 2011

卷: 4

页码: 2275-2279

语种: 英文

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WoS核心集被引频次: 0

SCOPUS被引频次: 6

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