Please use this identifier to cite or link to this item:
|Title:||Brillouin distributed strain sensor performance improvement using FourWaRD algorithm|
|Keywords:||Brillouin distributed strain sensor|
Fourier regularised deconvolution
Fourier wavelet regularised deconvolution
|Abstract:||This paper presents an improvement of dynamic range as well as the strain resolution of the proposed 70 km 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 70 km distance using FourWaRD algorithm compared to FourD algorithm. Similarly, the dynamic range of 49.1 dB is achieved using FourWaRD algorithm whereas 32.77 dB and 45 dB are observed using FourD and FourRD algorithms respectively. The proposed system exhibits a spatial resolution of 10 m using 10 mW launched power for 70 km sensing range. � 2015 Elsevier GmbH. All rights reserved.|
|Appears in Collections:||Research Publications|
Files in This Item:
There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.