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A fast key parameter extraction algorithm for long fiber distributed sensing based on Brillouin scattering.

L J Zhao1, Z N Xu1, Y Q Li1

  • 1School of Electrical and Electronic Engineering, North China Electric Power University, Baoding 071003, China.

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Summary
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A new algorithm enhances real-time temperature and strain measurements in fiber optic sensing. This method improves accuracy and speed for Brillouin scattering analysis, making fiber sensing more efficient.

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Area of Science:

  • Physics
  • Optical Engineering
  • Materials Science

Background:

  • Brillouin scattering-based fiber-distributed sensing is crucial for real-time temperature and strain monitoring.
  • Existing key parameter extraction algorithms face limitations in real-time performance.

Purpose of the Study:

  • To develop a fast key parameter extraction algorithm for improving the real-time performance of Brillouin scattering-based fiber-distributed sensing.
  • To enhance the accuracy and arithmetic efficiency of parameter extraction in fiber optic sensing.

Main Methods:

  • A novel initial value method was implemented, using current point parameters as initial guesses for subsequent points.
  • The algorithm was developed in Matlab, incorporating objective methods, optimization algorithms, and convergence criteria.
  • Performance was evaluated using Lorentzian, Gaussian, and pseudo-Voigt profiles across various Brillouin spectra and averaging times.

Main Results:

  • The proposed algorithm demonstrated significant improvements in arithmetic efficiency, ranging from 16.3% to 49.1%.
  • High accuracy was maintained in extracting key parameters, except in specific cases involving narrow frequency sweeps and pseudo-Voigt profiles.
  • Computation time was marginally increased by 1.1% only when using the pseudo-Voigt profile with a frequency sweep narrower than the linewidth.

Conclusions:

  • The developed algorithm offers a substantial improvement in computational efficiency for Brillouin scattering analysis.
  • This advancement facilitates more effective real-time temperature and strain measurements in fiber-distributed sensing applications.
  • The algorithm provides a robust and accurate solution for parameter extraction in optical fiber sensing.