Volume 47 Issue S1
Jul.  2018
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Xu Zhiniu, Hu Zhiwei, Zhao Lijuan, Yang Zhi, Chen Feifei, Li Yongqian, Chen Yonghui. Highly accurate key parameters extraction algorithm for Brillouin scattering spectrum using Voigt profile[J]. Infrared and Laser Engineering, 2018, 47(S1): 74-81. doi: 10.3788/IRLA201746.S122004
Citation: Xu Zhiniu, Hu Zhiwei, Zhao Lijuan, Yang Zhi, Chen Feifei, Li Yongqian, Chen Yonghui. Highly accurate key parameters extraction algorithm for Brillouin scattering spectrum using Voigt profile[J]. Infrared and Laser Engineering, 2018, 47(S1): 74-81. doi: 10.3788/IRLA201746.S122004

Highly accurate key parameters extraction algorithm for Brillouin scattering spectrum using Voigt profile

doi: 10.3788/IRLA201746.S122004
  • Received Date: 2018-02-10
  • Rev Recd Date: 2018-05-20
  • Publish Date: 2018-06-25
  • The Brillouin scattering spectrum follows Voigt profile. The existing key parameters extraction algorithm for Brillouin scattering spectrum is easy to introduce errors. To ensure high accuracy in the extracted key parameters, the temperature and strain measurement, a key parameters extraction algorithm for Brillouin scattering spectrum using Voigt profile was proposed. The Voigt profile was calculated using the Gauss-Hermite quadrature, the objective function was determined based on the least-squares method and Voigt profile. Besides the initial guesses obtainment method of key parameters was presented. The objective function was optimized using the Levenberg-Marquardt algorithm. Once the objective function was minimized, the key parameters were obtained. Additionally, another algorithm was implemented, in which the initial guesses were set to some random values within a certain range, then the Levenberg-Marquardt algorithm was used to optimize the objective function. A large number of Brillouin scattering spectra with different values of signal-to-noise ratio were numerically generated and measured. The results calculated by the two algorithms reveal that the probability of convergence of the random algorithm fall within a range of 80% to 90%. The proposed algorithm always converges in all cases. The errors by the proposed algorithm are only 1/1011-1/7 of that by the random algorithm. The computation time by the proposed algorithm is only 1/8-1/3 of that by the random algorithm.
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    [3] Afshar S, Ferrier G A, Bao X, et al. Effect of the finite extinction ratio of an electro-optic modulator on the performance of distributed probe-pump Brillouin sensor systems[J]. Optics Letters, 2003, 28(16):1418-1420.
    [4] Kwon H, Kim S, Yeom S, et al. Analysis of nonlinear fitting methods for distributed measurement of temperature and strain over 36 km optical fiber based on spontaneous Brillouin backscattering[J]. Optics Communications, 2013, 294:59-63.
    [5] Ida T, Ando M, Toraya H. Extended pseudo-Voigt function for approximating the Voigt profile[J]. Journal of Applied Crystallography, 2000, 33(6):1311-1316.
    [6] Zhao Lijuan, Li Yongqian, Xu Zhiniu. Influence of optimization model on parameter extraction in Lorentzian Brillouin scattering spectrum[J]. Infrared and Laser Engineering, 2016, 45(5):0522002. (in Chinese)
    [7] Kuhn W R, London J. Infrared radiative cooling in the middle atmosphere (30-110 km)[J]. Journal of the Atmospheric Sciences, 1969, 26(2):189-204.
    [8] Yu Chunjuan. Research on high accuracy extraction of BOTDR distributed sensor signal[D]. Qinhuangdao:Yanshan University, 2015. (in Chinese)
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    [10] Zhang Yanjun, Liu Wenzhe, Fu Xinghu, et al. The high precision analysis research of multichannel BOTDR scattering spectral information based on the TTDF and CNS algorithm[J]. Spectroscopy and Spectral Analysis, 2015, 35(7):1802-1807. (in Chinese)
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Highly accurate key parameters extraction algorithm for Brillouin scattering spectrum using Voigt profile

doi: 10.3788/IRLA201746.S122004
  • 1. School of Electrical and Electronic Engineering,North China Electric Power University,Baoding 071003,China;
  • 2. Science & Technology College,North China Electric Power University,Baoding 071003,China

Abstract: The Brillouin scattering spectrum follows Voigt profile. The existing key parameters extraction algorithm for Brillouin scattering spectrum is easy to introduce errors. To ensure high accuracy in the extracted key parameters, the temperature and strain measurement, a key parameters extraction algorithm for Brillouin scattering spectrum using Voigt profile was proposed. The Voigt profile was calculated using the Gauss-Hermite quadrature, the objective function was determined based on the least-squares method and Voigt profile. Besides the initial guesses obtainment method of key parameters was presented. The objective function was optimized using the Levenberg-Marquardt algorithm. Once the objective function was minimized, the key parameters were obtained. Additionally, another algorithm was implemented, in which the initial guesses were set to some random values within a certain range, then the Levenberg-Marquardt algorithm was used to optimize the objective function. A large number of Brillouin scattering spectra with different values of signal-to-noise ratio were numerically generated and measured. The results calculated by the two algorithms reveal that the probability of convergence of the random algorithm fall within a range of 80% to 90%. The proposed algorithm always converges in all cases. The errors by the proposed algorithm are only 1/1011-1/7 of that by the random algorithm. The computation time by the proposed algorithm is only 1/8-1/3 of that by the random algorithm.

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