Infrared and Laser Engineering, Volume. 53, Issue 10, 20240235(2024)

Raman distributed fiber optic sensing technology based on chaotic pulse clusters (invited)

Zijia CHENG1, Jian LI1,2、*, Bowen FAN1,2, Weiyi ZHANG2, Xiaohui XUE2, and Mingjiang ZHANG2,3
Author Affiliations
  • 1College of Electronic Information and Optical Engineering, Taiyuan University of Technology, Taiyuan 030024, China
  • 2Key Laboratory of Advanced Transducers and Intelligent Control Systems (Ministry of Education and Shanxi Province), Taiyuan University of Technology, Taiyuan 030024, China
  • 3College of Physics, Taiyuan University of Technology, Taiyuan 030024, China
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    Figures & Tables(8)
    CPC-ROTDR system principle model
    Raman anti-Stokes scattering signals and dynamic range of chaotic pulse clusters with different number of pulses. (a) Raman anti-Stokes scattering signal and FUT magnification plot for pulse number 5 (Np is the number of pulses); (b) Dynamic range comparison
    Localization demodulation results of CPC-ROTDR system for FUT at different sensing distances
    Effect of the number of pulses in a chaotic pulse cluster on the amplitude of the positively correlated peaks
    Half-height full-width (FWHM) curves of the autocorrelation function of the CPC-ROTDR system with different numbers of pulses and the relationship between the number of pulses and FWHM. (a) Autocorrelation curve at Np=1; (b) Autocorrelation curve at Np=2; (c) Autocorrelation curve at Np=3; (d) Autocorrelation curve at Np=4; (e) Autocorrelation curve at Np=5; (f) Relationship between the number of pulses and the half-height and full width of the autocorrelation function
    FUT temperature versus positive correlation peak-to-peak values for different number of pulses. (a) Np=1; (b) Np=2; (c) Np=3; (d) Np=4; (e) Np=5; (f) Relationship between the number of pulses and the temperature -positively correlated peak-to-peak plot slopes
    • Table 1. Parameters related to CPC-ROTDR numerical modeling simulation

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      Table 1. Parameters related to CPC-ROTDR numerical modeling simulation

      ParameterPhysical meaningValue
      KaRaman anti-Stokes signal coefficient3.06641×10−9
      λRaman anti-Stokes signal wavelength/nm1450
      α0+αasTransmission loss/dB·km−11.18
      ΔvRaman frequency shift/THz13.2
      n0Refractive index of the fiber1.5
      fsSampling rate/GSa·s−120
      $ {\tau }_{a} $Pulse element width/ns50
      $ {\tau }_{0} $Pulse interval/ns50
    • Table 2. Temperature demodulation results of CPC-ROTDR

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      Table 2. Temperature demodulation results of CPC-ROTDR

      Preset temperatures/KCorrelation peak/arb. unitsDemodulation temperature/K
      353.155.30353.15
      363.156.24363.15
      373.157.19373.15
      383.158.15383.15
      393.159.12393.15
      403.1510.11403.15
      413.1511.10413.15
      423.1512.10423.15
      433.1513.11433.15
      443.1514.13443.15
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    Zijia CHENG, Jian LI, Bowen FAN, Weiyi ZHANG, Xiaohui XUE, Mingjiang ZHANG. Raman distributed fiber optic sensing technology based on chaotic pulse clusters (invited)[J]. Infrared and Laser Engineering, 2024, 53(10): 20240235

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    Paper Information

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    Received: Jun. 3, 2024

    Accepted: --

    Published Online: Dec. 13, 2024

    The Author Email: LI Jian (lijian02@tyut.edu.cn)

    DOI:10.3788/IRLA20240235

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