Photonic Sensors, Volume. 8, Issue 2, 114(2018)

Brillouin Scattering Spectrum Analysis Based on Auto-Regressive Spectral Estimation

Mengyun HUANG, Wei LI, Zhangyun LIU, Linghao CHENG*, and Bai-Ou GUAN
Author Affiliations
  • Guangdong Provincial Key Laboratory of Optical Fiber Sensing and Communications, Institute of Photonics Technology, Jinan University, Guangzhou, 510632, China
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    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.

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    Mengyun HUANG, Wei LI, Zhangyun LIU, Linghao CHENG, Bai-Ou GUAN. Brillouin Scattering Spectrum Analysis Based on Auto-Regressive Spectral Estimation[J]. Photonic Sensors, 2018, 8(2): 114

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    Paper Information

    Category: Regular

    Received: Dec. 23, 2017

    Accepted: Mar. 1, 2018

    Published Online: Aug. 4, 2018

    The Author Email: CHENG Linghao (chenglh@ieee.org)

    DOI:10.1007/s13320-018-0488-7

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