Acta Optica Sinica, Volume. 44, Issue 1, 0106025(2024)

Raman Distributed Optical Fiber Sensing Based on Multi-Order Time-Domain Differential Reconstruction Correlation

Jian Li1,3, Bowen Fan3, Zijia Cheng3, Xiaohui Xue3, and Mingjiang Zhang2,3、*
Author Affiliations
  • 1College of Electric Information and Optical Engineering, Taiyuan University of Technology, Taiyuan 030024, Shanxi , China
  • 2College of Physics, Taiyuan University of Technology, Taiyuan 030024, Shanxi , China
  • 3Key Laboratory of Advanced Transducers and Intelligent Control System, Ministry of Education, Taiyuan University of Technology, Taiyuan 030024, Shanxi , China
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    Figures & Tables(9)
    Raman distributed optical fiber sensing scheme based on multi-order time domain differential reconstruction correlation method. (a) System simulation model; (b) multi-order time-domain differential reconstruction and correlated compression demodulation schemes
    Timing characteristics of three typical sensing signals. (a) Chaos signal timing; (b) ASE signal timing; (c) noise signal timing
    Results of Raman anti-Stokes scattering signal construction with different signals. (a) Chaos signal; (b) ASE signal; (c) noise signal; (d) comparison of dynamic ranges of Raman anti-Stokes scattering signal
    Position demodulation results. (a) Chaos optical signal correlation result; (b) ASE signal correlation result; (c) noise signal correlation result
    Sensing signal spectra and timing autocorrelations. (a1) Chaos signal autocorrelation curve; (b1) ASE signal autocorrelation curve; (c1) noise signal autocorrelation curve; (a2) chaotic signal spectrum; (b2) ASE signal spectrum; (c2) noise signal spectrum
    Effect of time-domain differential reconstruction order on correlated peak-to-peak for different sensing signal schemes. (a) Results of chaotic signal sensing schemes; (b) results of ASE signal sensing schemes; (c) results of noise signal sensing schemes; (d) influence of differential reconstruction order of chaotic signal scheme on correlated peak-to-peak; (e) influence of differential reconstruction order of ASE signal scheme on correlated peak-to-peak; (f) influence of differential reconstruction order of noise signal scheme on correlated peak-to-peak
    Temperature demodulation results. (a) Relationship of positively correlated peak and FUT temperature; (b) results of double FUT temperature demodulation experiment
    • Table 1. Physical meaning of Raman anti-Stokes scattering signal equation

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      Table 1. Physical meaning of Raman anti-Stokes scattering signal equation

      ParameterPhysical meaningParameterPhysical meaning
      IRaman anti-Stokes signal intensityLLocation in the fiber
      KaRaman anti-Stokes signal coefficienthPlanck constant
      λRaman anti-Stoke signal wavelengthΔvRaman frequency shift
      PIncident powerkBoltzmann constant
      α0asTransmission lossTTemperature
    • Table 2. Parameters of simulation model

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      Table 2. Parameters of simulation model

      ParameterPhysical meaningValue
      KaRaman anti-Stokes signal coefficient3.06641×10-9
      λRaman anti-Stokes signal wavelength1450 nm
      α0asTransmission loss1.18 dB/km
      ΔvRaman frequency shift13.2 THz
      n0Refractive index of the fiber1.5
      WWidth of pulse50 ns
      fsSampling rate20 GSa/s
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    Jian Li, Bowen Fan, Zijia Cheng, Xiaohui Xue, Mingjiang Zhang. Raman Distributed Optical Fiber Sensing Based on Multi-Order Time-Domain Differential Reconstruction Correlation[J]. Acta Optica Sinica, 2024, 44(1): 0106025

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    Paper Information

    Category: Fiber Optics and Optical Communications

    Received: Aug. 15, 2023

    Accepted: Oct. 16, 2023

    Published Online: Jan. 12, 2024

    The Author Email: Zhang Mingjiang (zhangmingjiang@tyut.edu.cn)

    DOI:10.3788/AOS231410

    CSTR:32393.14.AOS231410

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