A method of fitting BOTDA data for the estimation of the Brillouin frequency shift

Michael Komodromos; Alexis Polycarpou; Andreas Ioannou; Maria Argyrou; Kyriacos Kalli

doi:10.1117/12.2670521

31 May 2023 A method of fitting BOTDA data for the estimation of the Brillouin frequency shift

Michael Komodromos, Alexis Polycarpou, Andreas Ioannou, Maria Argyrou, Kyriacos Kalli

Proceedings Volume 12572, Optical Sensors 2023; 125721Z (2023) https://doi.org/10.1117/12.2670521
Event: SPIE Optics + Optoelectronics, 2023, Prague, Czech Republic

Conference Poster

Abstract

A Brillouin Optical Time-Domain Analysis (BOTDA) Lorentzian data fitting method to estimate the Brillouin Frequency Shift (BFS) is proposed. Data is obtained from an experimental setup used to conduct the 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 Brillouin frequency. The resulting parameters of a completed BGS curve fitting are used as initial set of parameters for the next location point BGS fitting. Completion of the Lorentzian fitting using the Levenberg-Marquardt nonlinear curve fitting algorithm is achieved in a small number of iterations which improves the performance in obtaining the Brillouin frequency shift.

Citation Download Citation

Michael Komodromos, Alexis Polycarpou, Andreas Ioannou, Maria Argyrou, and Kyriacos Kalli "A method of fitting BOTDA data for the estimation of the Brillouin frequency shift", Proc. SPIE 12572, Optical Sensors 2023, 125721Z (31 May 2023); https://doi.org/10.1117/12.2670521

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