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High-resolution ϕ-OFDR using phase unwrap and nonlinearity suppression
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Guo, Zhen, Yan, Jize, Han, Gaoce, Yu, Yifei, Greenwood, David G. and Marco, James (2023) High-resolution ϕ-OFDR using phase unwrap and nonlinearity suppression. Journal of Lightwave Technology, 41 (9). pp. 2885-2891. doi:10.1109/JLT.2023.3236775 ISSN 0733-8724.
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WRAP-high-resolution-OFDR-phase-unwrap-nonlinearity-suppression-Guo-2023.pdf - Accepted Version - Requires a PDF viewer. Download (1624Kb) | Preview |
Official URL: https://doi.org/10.1109/JLT.2023.3236775
Abstract
Phase-sensitive optical frequency domain reflectometer (Φ-OFDR) is investigated to deliver an accurate distributed measurement with high spatial resolution. It is found that random phase noise and quadrant discrimination during phase calculation are the main reasons for the random hopping in Φ-OFDR. By efficiently eliminating random hopping in the phase unwrap and suppressing the laser-induced nonlinear sweep for the theoretical spatial resolution, the proposed Φ-OFDR is proved to be able to decouple the limitation between resolution and accuracy in coherent OFDR (C-OFDR). Distributed strain measurement with 20 mm spatial resolution in Φ-OFDR is obtained and analysed. Measurement with little deviation and uniform sensitivity between applied strain and phase change both validate the efficient noise suppression for extreme resolution measurement. Then the influence of the initial sweep frequency between two times measurements is studied. With a further reduced 800 µm spatial resolution, the proposed Φ-OFDR is able to retain accurate distributed measurement compared to conventional C-OFDR methods. Besides, the computation time of the Φ-OFDR is only 3.2% of the C-OFDR.
Item Type: | Journal Article | |||||||||
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Subjects: | T Technology > TA Engineering (General). Civil engineering (General) | |||||||||
Divisions: | Faculty of Science, Engineering and Medicine > Engineering > WMG (Formerly the Warwick Manufacturing Group) | |||||||||
Journal or Publication Title: | Journal of Lightwave Technology | |||||||||
Publisher: | IEEE | |||||||||
ISSN: | 0733-8724 | |||||||||
Official Date: | 1 May 2023 | |||||||||
Dates: |
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Volume: | 41 | |||||||||
Number: | 9 | |||||||||
Page Range: | pp. 2885-2891 | |||||||||
DOI: | 10.1109/JLT.2023.3236775 | |||||||||
Status: | Peer Reviewed | |||||||||
Publication Status: | Published | |||||||||
Access rights to Published version: | Restricted or Subscription Access | |||||||||
Date of first compliant deposit: | 27 January 2023 | |||||||||
Date of first compliant Open Access: | 27 January 2023 | |||||||||
RIOXX Funder/Project Grant: |
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