Acta Optica Sinica, Volume. 44, Issue 11, 1128001(2024)

Wide-Range Distributed Optical Fiber Sensing System Based on Dynamic Extension of Rayleigh Scattering Intensity Spectrum

Jiahao Chen, Qingwen Liu*, Yanming Chang, and Zuyuan He
Author Affiliations
  • State Key Laboratory of Advanced Optical Communication Systems and Networks, Shanghai Jiao Tong University, Shanghai 200240, China
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    Figures & Tables(6)
    Experimental system setup
    Rayleigh backscattering (RBS) intensity spectra at given position before and after applying strain
    Schematic diagram of spectrum extension algorithm. (a) Process of spectrum splicing extended to the right; (b) splicing weight ratio within range of [Δfk,Δfk+1]; (c) reference spectrum after algorithm splicing and extension
    Superposition of positive frequency cross-correlation and negative frequency cross-correlation
    Demodulation of strain changes applied by PZT. (a) Strain changes relative to the first detection; (b) comparison between cumulative result of relative changes and demodulation results of spectrum extension; (c) cross-correlation at each moment of cumulative method; (d) cross-correlation at each moment of spectrum extension demodulation; (e) comparison of changes in cross-correlation peak values; (f) strain demodulation result when no voltage is applied to PZT
    Demodulation of 198 με strain change applied by electrokinetic displacement platform. (a) Cross-correlation results at various times; (b) variation of cross-correlation peak values; (c) matching between extended spectrum and spectrum to be measured at 308 ms; (d) spectrum extension demodulation result
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    Jiahao Chen, Qingwen Liu, Yanming Chang, Zuyuan He. Wide-Range Distributed Optical Fiber Sensing System Based on Dynamic Extension of Rayleigh Scattering Intensity Spectrum[J]. Acta Optica Sinica, 2024, 44(11): 1128001

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    Paper Information

    Category: Remote Sensing and Sensors

    Received: Jan. 5, 2024

    Accepted: Mar. 11, 2024

    Published Online: May. 28, 2024

    The Author Email: Qingwen Liu (liuqingwen@sjtu.edu.cn)

    DOI:10.3788/AOS240448

    CSTR:32393.14.AOS240448

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