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Please use this identifier to cite or link to this item: http://idr.iitbbs.ac.in/jspui/handle/2008/418
Title: High-performance Brillouin distributed temperature sensor using Fourier wavelet regularised deconvolution algorithm
Authors: Pradhan H.S.
Sahu P.K.
Issue Date: 2014
Citation: 2
Abstract: In this study, the authors presented a distributed optical fibre temperature sensor whose performance is improved using the optimisation techniques and Fourier wavelet regularised deconvolution (ForWaRD) method. As the input power launched into the sensing fibre is critical, the authors have considered both conventional optimisation technique and evolutionary optimisation techniques namely: genetic algorithm, differential evolution algorithm and particle swarm optimisation algorithm to increase the stimulated Brillouin scattering (SBS) threshold power. Using the optimised value of the parameters and employing evolutionary computing techniques, the proposed 50km long temperature sensing system offers a 4.7dB improvement in SBS threshold power over the design of experiment based system. It is being verified that power of the backscattered signals approximately are the convolution of the input pulsed power and corresponding backscatter optical fibre impulse responses. The Fourier wavelet regularised deconvolution (ForWaRD) method is employed to improve the spatial resolution of the proposed sensing system without reducing the pulse width of the input pulse. Employing ForWaRD technique a 10 m better spatial resolution observed as compared with the Fourier deconvolution technique. The proposed 50km long temperature sensing system exhibits a temperature resolution of 1.85K because of suppression of SBS threshold and noise reduction. � The Institution of Engineering and Technology 2014.
URI: http://dx.doi.org/1049/iet-opt.2013.0146
http://10.10.32.48:8080/jspui/handle/2008/418
Appears in Collections:Research Publications

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