Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/30902
Title: A Method of Fitting BOTDA Data for the Estimation of the Brillouin Frequency Shift
Authors: Komodromos, Michael 
Polycarpou, Alexis 
Ioannou, Andreas 
Argyrou, Maria C. 
Kalli, Kyriacos 
Editors: Lieberman, Robert A. 
Baldini, Francesco 
Homola, Jiri 
Major Field of Science: Engineering and Technology
Field Category: Electrical Engineering - Electronic Engineering - Information Engineering
Keywords: BFS estimation;BOTDA;Levenberg-Marquardt algorithm (LMA);Lorentzian fitting
Issue Date: 1-Jan-2023
Source: Optical Sensors 2023, Prague, Czech Republic, 24 - 26 April 2023
Volume: 12572
Conference: Proceedings of SPIE - The International Society for Optical Engineering 
Abstract: A Brillouin Optical Time-Domain Analysis (BOTDA) Lorentzian data fitting method to estimate the Brillouin Frequency Shift (BFS) at successive locations along the length of the sensing optical fiber is proposed. The data used to test the method is obtained from an experimental setup built to conduct temperature and strain measurements. Before Lorentzian fitting the noisy data is averaged and filtered. The proposed method attempts to lower computational complexity in determining the BFS at each location by using the resulting parameters of a completed Brillouin gain spectrum (BGS) curve-fitting as initial set of parameters for the next location BGS fitting. Completion of the Lorentzian fittings using the Levenberg-Marquardt nonlinear curve fitting algorithm is achieved in a smaller number of iterations, improving the performance in obtaining the BFS.
URI: https://hdl.handle.net/20.500.14279/30902
ISBN: 9781510662643
ISSN: 0277786X
DOI: 10.1117/12.2670521
Rights: © SPIE
Attribution-NonCommercial-NoDerivatives 4.0 International
Type: Conference Papers
Affiliation : Frederick Research Center 
Frederick University 
Cyprus University of Technology 
Appears in Collections:Δημοσιεύσεις σε συνέδρια /Conference papers or poster or presentation

CORE Recommender
Show full item record

SCOPUSTM   
Citations 20

2
checked on Mar 14, 2024

Page view(s) 20

131
Last Week
1
Last month
7
checked on Nov 21, 2024

Google ScholarTM

Check

Altmetric


This item is licensed under a Creative Commons License Creative Commons