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
Fig. 1. 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
Fig. 2. 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
Fig. 4. Procedure diagram of BOTDR decoding using random-sequence-based pulse code modulation
Fig. 5. 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
Fig. 6. Simulation curves at different coding lengths. (a) Single-frequency power curves; (b) MAE curve
Fig. 7. Simulation curves at different numbers of coding groups. (a) Single-frequency power curves; (b) MAE curve
Fig. 8. Procedure diagram of long-distance BOTDR using random-sequence-based pulse code modulation
Fig. 10. Self-correlation result of encoding pulse sequences from SOA at different encoding lengths
Fig. 11. Brillouin backscattering spectra. (a) Brillouin backscattering spectra at different encoding lengths; (b) difference between Stokes peak and anti-Stokes peak
Fig. 13. Measurement results of random-sequence-based pulse code modulation at different coding lengths. (a) BFS distribution; (b) RMSE distribution; (c) effective sensing distance
Fig. 14. Self-correlation result of encoding pulse sequences output by SOA at different encoding groups numbers
Fig. 15. 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
Fig. 16. 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)
Fig. 17. BFS measurement results and linear fitting curve at different temperatures
Fig. 18. Comparison between spatial resolutions of different methods. (a) Random-sequence-based pulse code modulation method; (b) single-pulse method
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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
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)
CSTR:32183.14.CJL241007