A Logarithmic Detection Scheme in BOTDR With Low-Bandwidth Requests
Author(s) -
Qing Bai,
Xuan Zheng,
Dong Wang,
Yu Wang,
Xin Liu,
Mingjiang Zhang,
Hongjuan Zhang,
Baoquan Jin
Publication year - 2018
Publication title -
ieee access
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.587
H-Index - 127
ISSN - 2169-3536
DOI - 10.1109/access.2018.2883412
Subject(s) - aerospace , bioengineering , communication, networking and broadcast technologies , components, circuits, devices and systems , computing and processing , engineered materials, dielectrics and plasmas , engineering profession , fields, waves and electromagnetics , general topics for engineers , geoscience , nuclear engineering , photonics and electrooptics , power, energy and industry applications , robotics and control systems , signal processing and analysis , transportation
This paper presents a logarithmic detection scheme for reducing the bandwidth of the data acquisition (DAQ) in a Brillouin optical time domain reflectometer (BOTDR). From the analysis of signal features in frequency-scanning BOTDR, the reduction effect of the proposed detection scheme on the bandwidth of DAQ is investigated theoretically. We implement the scheme and evaluate its influence on the performance of BOTDR over a ~10-km sensing fiber by employing a digitalizer with bandwidth of only 50 MHz. The experimental results show that the spatial resolution of 1.02 m is achieved even though the bandwidth of DAQ is only 50 MHz. At 100-m end of sensing fiber, the root-mean-square error (RMSE) of Brillouin frequency shift (BFS) is 0.67 MHz corresponding to the strain error of 13.4 με and temperature error of 0.66°C. As a comparison, the BFS is likewise acquired by a 200-MHz-bandwidth digitalizer, the RMSE of which is 0.66 MHz corresponding to the strain error of 13.2 με and temperature error of 0.65°C, nearly consistent with the former. It is confirmed that the logarithmic detection scheme can be used in BOTDR for reducing bandwidth request of DAQ meanwhile without excessive deterioration of spatial resolution or measurement accuracy.
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