Brillouin distributed strain sensor performance improvement using FourWaRD algorithm

This paper presents an improvement of dynamic range as well as the strain resolution of the proposed 70km Brillouin distributed sensor using Fourier wavelet regularised deconvolution (FourWaRD) algorithm. We have investigated the deconvolution algorithms such as: Fourier deconvolution (FourD), Fouri...

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Bibliographic Details
Published in:Optik (Stuttgart) 2016-03, Vol.127 (5), p.2666-2669
Main Authors: Pradhan, Himansu Shekhar, Sahu, P.K.
Format: Article
Language:English
Subjects:
Algorithms
Brillouin distributed strain sensor
Deconvolution
Dynamic range
Dynamical systems
Dynamics
Fourier analysis
Fourier deconvolution
Fourier regularised deconvolution
Fourier wavelet regularised deconvolution
Landau–Placzek ratio
Noise levels
Strain
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Summary:This paper presents an improvement of dynamic range as well as the strain resolution of the proposed 70km Brillouin distributed sensor using Fourier wavelet regularised deconvolution (FourWaRD) algorithm. We have investigated the deconvolution algorithms such as: Fourier deconvolution (FourD), Fourier regularised deconvolution (FourRD) and (FourWaRD) in this paper. The Landau–Placzek ratio (LPR) is used for extracting the strain profile of the proposed sensing system with the interrogating technique based on optical time domain reflectometry (OTDR). Numerical simulation result shows that the strain resolution is enhanced about eighteen times at 70km distance using FourWaRD algorithm compared to FourD algorithm. Similarly, the dynamic range of 49.1dB is achieved using FourWaRD algorithm whereas 32.77dB and 45dB are observed using FourD and FourRD algorithms respectively. The proposed system exhibits a spatial resolution of 10m using 10mW launched power for 70km sensing range.
ISSN:0030-4026
1618-1336
DOI:10.1016/j.ijleo.2015.11.190