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Regular | Open Access

Brillouin Scattering Spectrum Analysis Based on Auto-Regressive Spectral Estimation

Mengyun HUANG, Wei LI, Zhangyun LIU, Linghao CHENG( ), Bai-Ou GUAN
Guangdong Provincial Key Laboratory of Optical Fiber Sensing and Communications, Institute of Photonics Technology, Jinan University, Guangzhou, 510632, China
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Abstract

Auto-regressive (AR) spectral estimation technology is proposed to analyze the Brillouin scattering spectrum in Brillouin optical time-domain refelectometry. It shows that AR based method can reliably estimate the Brillouin frequency shift with an accuracy much better than fast Fourier transform (FFT) based methods provided the data length is not too short. It enables about 3 times improvement over FFT at a moderate spatial resolution.

Keywords

Brillouin optical time-domain reflectometry (BOTDR)auto-regressive (AR) modelspectral estimationdistributed fiber-optic sensing

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Photonic Sensors
Volume 8 Issue 2,
June 2018
Pages 114-118
DOI: 10.1007/s13320-018-0488-7

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Cite this article:
HUANG M, LI W, LIU Z, et al. Brillouin Scattering Spectrum Analysis Based on Auto-Regressive Spectral Estimation. Photonic Sensors, 2018, 8(2): 114-118. https://doi.org/10.1007/s13320-018-0488-7

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Received: 23 December 2017
Revised: 01 March 2018
Published: 17 March 2018
© The Author(s) 2018.

This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.