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Ultimate spatial resolution realisation in optical frequency domain reflectometry with equal frequency resampling
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Guo, Zhen, Han, Gaoce, Yan, Jize, Greenwood, David G., Marco, James and Yu, Yifei (2021) Ultimate spatial resolution realisation in optical frequency domain reflectometry with equal frequency resampling. Sensors, 21 (14). 4632. doi:10.3390/s21144632 ISSN 1424-8220.
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WRAP-ultimate-spatial-resolution-realisation-optical-frequency-domain-reflectometry-with-equal-frequency-resampling-Yu-2021.pdf - Published Version - Requires a PDF viewer. Available under License Creative Commons Attribution 4.0. Download (9Mb) | Preview |
Official URL: http://dx.doi.org/10.3390/s21144632
Abstract
A method based on equal frequency resampling is proposed to suppress laser nonlinear frequency sweeping for the ultimate spatial resolution in optical frequency domain reflectometry. Estimation inaccuracy of the sweeping frequency distribution caused by the finite sampling rate in the auxiliary interferometer can be efficiently compensated by the equal frequency resampling method. With the sweeping range of 130 nm, a 12.1 µm spatial resolution is experimentally obtained. In addition, the sampling limitation of the auxiliary interferometer-based correction is discussed. With a 200 m optical path delay in the auxiliary interferometer, a 21.3 µm spatial resolution is realised at the 191 m fibre end. By employing the proposed resampling and a drawing tower FBG array to enhance the Rayleigh backscattering, a distributed temperature sensing over a 105 m fibre with a sensing resolution of 1 cm is achieved. The measured temperature uncertainty is limited to ±0.15 °C.
| Item Type: | Journal Article | |||||||||
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| Subjects: | Q Science > QC Physics T Technology > TA Engineering (General). Civil engineering (General) |
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| Divisions: | Faculty of Science, Engineering and Medicine > Engineering > WMG (Formerly the Warwick Manufacturing Group) | |||||||||
| Library of Congress Subject Headings (LCSH): | Optical fiber detectors, Rayleigh scattering | |||||||||
| Journal or Publication Title: | Sensors | |||||||||
| Publisher: | MDPI AG | |||||||||
| ISSN: | 1424-8220 | |||||||||
| Official Date: | 6 July 2021 | |||||||||
| Dates: |
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| Volume: | 21 | |||||||||
| Number: | 14 | |||||||||
| Article Number: | 4632 | |||||||||
| DOI: | 10.3390/s21144632 | |||||||||
| Status: | Peer Reviewed | |||||||||
| Publication Status: | Published | |||||||||
| Access rights to Published version: | Open Access (Creative Commons) | |||||||||
| Date of first compliant deposit: | 8 July 2021 | |||||||||
| Date of first compliant Open Access: | 9 July 2021 | |||||||||
| RIOXX Funder/Project Grant: |
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