Frequency resolution quantification of Brillouin distributed optical fibre sensors
Frequency resolution quantification of Brillouin distributed optical fibre sensors
Noise analysis using Monte Carlo method is conducted in this paper to correct the relationship between the frequency resolution, the Q-factor, Signal-to-Noise Ratio (SNR), and frequency step in the Brillouin distributed optical fibre sensors. The quantification of the Brillouin gain spectrum is important in distributed Brillouin sensors in order to improve the Brillouin frequency resolution and the corresponding strain and temperature resolutions. Two analytical expressions are derived in order to estimate the error in the determination of the Brillouin central frequency with or without second order polynomial
fitting.
1-1
Yu, Yifei
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Luo, Linqing
e4ea964d-ab97-42f6-93a8-846a19007a1e
Bo, Li
241b8f88-c2ca-4d4f-85a0-fec0af569f95
Soga, Kenichi
e43028e3-af4d-4ea4-a747-6cc6dacc849b
Yan, Jize
786dc090-843b-435d-adbe-1d35e8fc5828
Yu, Yifei
5796fabf-53ec-4312-a5c0-93c172023d88
Luo, Linqing
e4ea964d-ab97-42f6-93a8-846a19007a1e
Bo, Li
241b8f88-c2ca-4d4f-85a0-fec0af569f95
Soga, Kenichi
e43028e3-af4d-4ea4-a747-6cc6dacc849b
Yan, Jize
786dc090-843b-435d-adbe-1d35e8fc5828
Yu, Yifei, Luo, Linqing, Bo, Li, Soga, Kenichi and Yan, Jize
(2016)
Frequency resolution quantification of Brillouin distributed optical fibre sensors.
IEEE Photonics Technology Letters, .
(doi:10.1109/LPT.2016.2594084).
Abstract
Noise analysis using Monte Carlo method is conducted in this paper to correct the relationship between the frequency resolution, the Q-factor, Signal-to-Noise Ratio (SNR), and frequency step in the Brillouin distributed optical fibre sensors. The quantification of the Brillouin gain spectrum is important in distributed Brillouin sensors in order to improve the Brillouin frequency resolution and the corresponding strain and temperature resolutions. Two analytical expressions are derived in order to estimate the error in the determination of the Brillouin central frequency with or without second order polynomial
fitting.
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More information
Accepted/In Press date: 22 July 2016
e-pub ahead of print date: 27 July 2016
Organisations:
Nanoelectronics and Nanotechnology
Identifiers
Local EPrints ID: 398768
URI: http://eprints.soton.ac.uk/id/eprint/398768
ISSN: 1041-1135
PURE UUID: 7e7be1fb-9294-4c1d-83da-7776a2719e2b
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Date deposited: 02 Aug 2016 08:52
Last modified: 15 Mar 2024 03:53
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Contributors
Author:
Yifei Yu
Author:
Linqing Luo
Author:
Li Bo
Author:
Kenichi Soga
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