Chinese Journal of Lasers, Volume. 52, Issue 2, 0206004(2025)

Research on Long‑Distance BOTDR Sensor with Parameters Optimization and Random‑Sequence‑Based Pulse Code Modulation

Zhixi Yao1, Yu Wang1, Zhijie Sun3, Qing Bai2, Xuan Wang2, Xin Liu1, and Baoquan Jin2、*
Author Affiliations
  • 1College of Electronic Information and Optical Engineering, Taiyuan University of Technology, Taiyuan 030024, Shanxi , China
  • 2Key Laboratory of Advanced Transducers and Intelligent Control System of Ministry of Education and Shanxi Province, Taiyuan University of Technology, Taiyuan 030024, Shanxi , China
  • 3Intelligent Transportation Laboratory in Shanxi Province, Shanxi Intelligent Transportation Laboratory Co., Ltd., Taiyuan 030032, Shanxi , China
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    Figures & Tables(19)
    Random sequence and its time-domain feature. (a) Sequence distribution of 512 bit random code; (b) frequency distribution of “0” and “1” in 800 kbit random code
    Self-correlation characteristic curves. (a) Normalized η(t) waveforms under different numbers of coding groups M and coding lengths L; (b) variation of PSLR with coding group; (c) variation of PSLR with coding length
    Schematic diagram of random-sequence-based pulse code modulation
    Procedure diagram of BOTDR decoding using random-sequence-based pulse code modulation
    Single-frequency time-domain decoding simulation results in BOTDR system without noise. (a) Backscattering response curve of single-pulse signal; (b) a set of cross-correlation curve in the decoding process; (c) accumulated average calculation result among multiple sets of cross-correlation curves in the decoding process
    Simulation curves at different coding lengths. (a) Single-frequency power curves; (b) MAE curve
    Simulation curves at different numbers of coding groups. (a) Single-frequency power curves; (b) MAE curve
    Procedure diagram of long-distance BOTDR using random-sequence-based pulse code modulation
    Configuration of the fiber in the experiment
    Self-correlation result of encoding pulse sequences from SOA at different encoding lengths
    Brillouin backscattering spectra. (a) Brillouin backscattering spectra at different encoding lengths; (b) difference between Stokes peak and anti-Stokes peak
    Brillouin transmission spectra
    Measurement results of random-sequence-based pulse code modulation at different coding lengths. (a) BFS distribution; (b) RMSE distribution; (c) effective sensing distance
    Self-correlation result of encoding pulse sequences output by SOA at different encoding groups numbers
    Measurement results and accuracy evaluation of random-sequence-based pulse code modulation at different numbers of coding groups. (a) BFS distribution curve; (b) RMSE and time-consumption in data updating
    Measured single-frequency curve and scanning-frequency 3D-BGS of decoding results. (a) Single-frequency curve; (b) scanning-frequency 3D-BGS (local temperature variation section)
    BFS measurement results and linear fitting curve at different temperatures
    Comparison between spatial resolutions of different methods. (a) Random-sequence-based pulse code modulation method; (b) single-pulse method
    RMSE distribution of BFS curve at room temperature
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    Zhixi Yao, Yu Wang, Zhijie Sun, Qing Bai, Xuan Wang, Xin Liu, Baoquan Jin. Research on Long‑Distance BOTDR Sensor with Parameters Optimization and Random‑Sequence‑Based Pulse Code Modulation[J]. Chinese Journal of Lasers, 2025, 52(2): 0206004

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    Paper Information

    Category: Fiber optics and optical communication

    Received: Jun. 26, 2024

    Accepted: Jul. 9, 2024

    Published Online: Jan. 20, 2025

    The Author Email: Baoquan Jin (jinbaoquan@tyut.edu.cn)

    DOI:10.3788/CJL241007

    CSTR:32183.14.CJL241007

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