Chinese Journal of Lasers, Volume. 48, Issue 11, 1110002(2021)

Distributed Fiber-Optic Dynamic Strain Sensor Based on Spectra Correlation of Rayleigh Backscattering

Yifan Wang, Qingwen Liu*, He Li, Dian Chen, and Zuyuan He**
Author Affiliations
  • State Key Laboratory of Advanced Optical Communication Systems and Networks, Shanghai Jiao Tong University, Shanghai 200240, China
  • show less
    Figures & Tables(5)
    Experimental system setup diagram
    Comparison of the Rayleigh spectra of the 5th to 8th probe pulses and the first probe pulse at the same position
    Comparison of strain waveforms. (a) With cubic spline interpolation; (b) without cubic spline interpolation
    Results of strain demodulation. (a) Strain signal in 20 ms; (b) power spectral density of strain signal, where the SNR is 32.5 dB; (c) frequency shift at near end of fiber, the stripes represent vibration at this position; (d) standard deviation of (c) on each point of fiber, where the distance between 10% and 90% of the edge is about 1 m, which is also the spatial resolution of the system
    • Table 1. Performance comparison of demodulation methods along fiber axial direction and frequency axis direction

      View table

      Table 1. Performance comparison of demodulation methods along fiber axial direction and frequency axis direction

      DirectionSpatial resolution /mSNR /dBStrain resolution /(pε/Hz)Measurement time /s
      Distance axis0.925.72374.5
      Frequency axis1.032.51570.8
    Tools

    Get Citation

    Copy Citation Text

    Yifan Wang, Qingwen Liu, He Li, Dian Chen, Zuyuan He. Distributed Fiber-Optic Dynamic Strain Sensor Based on Spectra Correlation of Rayleigh Backscattering[J]. Chinese Journal of Lasers, 2021, 48(11): 1110002

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category: remote sensing and sensor

    Received: Oct. 18, 2020

    Accepted: Dec. 14, 2020

    Published Online: Jun. 2, 2021

    The Author Email: Liu Qingwen (liuqingwen@sjtu.edu.cn), He Zuyuan (zuyuanhe@sjtu.edu.cn)

    DOI:10.3788/CJL202148.1110002

    Topics