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Research on the noise suppression by φ-OTDR

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Abstract

The phase-sensitive optical time domain reflectometer (φ-OTDR) applies extensively in various monitoring fields and owns merits such as anti-EMI and fast response. However, disturbance may emerge at some points in sensing fiber, for example, low signal-to-noise ratio (SNR) or high noise intensity, which will have a strong impact on the development of φ-OTDR. Therefore, three methods are mentioned in this paper to suppress the noise: Firstly, space division multiplexing (SDM) was used to improve the linking way of sensing fiber to enhance SNR in the whole system, and the SNR in the system was improved by 3.06 dB, and the root-mean-square error (RMSE) was 1.94. Secondly, the wavelet transform was used to construct the wavelet basis function and decomposition level to realize various suppressions on noise in the system, the SNR in the system was improved by 4.7 dB, and the RMSE was 1.80. Thirdly, singular value decomposition (SVD) algorithm was used to establish the intermediate matrix and filter threshold matrix to reach the noise suppression in the system, the overall SNR of the system was increased by 8.32 dB, and the RMSE was 1.59.

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References

  1. C. Lyu, J. Jiang, B. Li, Z. Huo, J. Yang, Abnormal events detection based on RP and inception network using distributed optical fiber perimeter system. Opt. Lasers Eng. 137, 106377 (2021). https://doi.org/10.1016/j.optlaseng.2020.106377

    Article  Google Scholar 

  2. H. Zhou, H. Xu, J.A. Duan, Review of the technology of a single mode fiber coupling to a laser diode. Opt. Fiber Technol. 55, 102097 (2020). https://doi.org/10.1016/j.yofte.2019.102097

    Article  Google Scholar 

  3. J.L. Wu, W. Ji, X.Y. Ye et al., Application of A technology in power system optical cable monitoring. Digital Commun. World. 6, 203–204 (2020)

    Google Scholar 

  4. A. Minardo, E. Catalano, A. Coscetta, G. Zeni, L. Zeni, Distributed fiber optic sensors for the monitoring of a tunnel crossing a landslide. Remote Sensing. 10, 8 (2018). https://doi.org/10.3390/rs10081291

    Article  Google Scholar 

  5. J. Tejedor, J. Macias-guarasa, H.F. Martins et al., Real field deployment of a smart fiber-optic surveillance system for pipeline integrity threat detection: architectural issues and blind field test results. J. Lightwave Technol. 36(4), 1052–1062 (2018)

    Article  ADS  Google Scholar 

  6. W.D. Sun, J. Zheng, Y. Sun, Research on Voice and footstep vibration signal monitoring System based on φ-OTDR. Laser Optoelectron. Prog. 60(23), 2306004 (2023)

    Google Scholar 

  7. F. Liu, G. Hu, C. Chen et al., Significant dynamic range and precision improvements for FMF mode-coupling measurements by utilizing adaptive wavelet threshold denoising. Opt. Commun. 426, 287–294 (2018). https://doi.org/10.1016/j.optcom.2018.05.053

    Article  ADS  Google Scholar 

  8. Y. Wu, S. Liang, S. Lou et al., An interrogation method to enhance snr for far-end disturbances in fiber-optic distributed disturbance sensor based on φ-OTDR. IEEE Sens. J. 19(3), 1064–1072 (2019). https://doi.org/10.1109/JSEN.2018.2878238

    Article  ADS  Google Scholar 

  9. P.F. Wang, Y. Lv, Y. Wang et al., Adaptability and anti-noise capacity enhancement for φ-OTDR with deep learning. J. Lightwave Technol. 38(23), 6699–6706 (2020). https://doi.org/10.1109/JLT.2020.3016712

    Article  ADS  Google Scholar 

  10. K. Naeem, B.H. Kim, D.J. Yoon et al., Enhancing detection performance of the phase-sensitive OTDR based distributed vibration sensor using weighted singular value decomposition. Appl. Sci. 11(4), 1928 (2021). https://doi.org/10.3390/APP11041928

    Article  Google Scholar 

  11. K. Li, Y.D. Gong, Z. Zhang, Research progress of φ-OTDR noise reduction processing. Laser Optoelectron. Prog. 59(23), 2300002 (2022)

    Google Scholar 

  12. X.P. Zhang, Y.X. Zhang, F. Wang, The mechanism and suppression methods of optical background noise in phase-sensitive optical time domain reflectometry. Acta Physica Sinica. (2017). https://doi.org/10.7498/aps.66.070707

    Article  Google Scholar 

  13. X. Zhong, S. Zhao, H. Deng et al., Nuisance alarm rate reduction using pulse-width multiplexing φ-OTDR with optimized positioning accuracy. Opt. Commun. (2020). https://doi.org/10.1016/j.optcom.2019.124571

    Article  Google Scholar 

  14. X. Li, Y. Gao, H. Wu, Mode recognition method of Φ-OTDR system based on mixed input neural network. Chin. J. Lasers 50(18), 1806004 (2023)

    Google Scholar 

  15. Z. Yang, H. Feng, Oil pipeline intrusion monitoring based on deep learning of Φ-OTDR. Laser Optoelectron. Prog. 50(18), 1806004 (2023)

    Google Scholar 

  16. T. Javier, M.G. Javier, M. Hugo, P. Daniel, P.G. Juan, M.L. Sonia, A novel fiber optic-based surveillance system for prevention of pipeline integrity threats. Sensors. 17(2), 355 (2017). https://doi.org/10.3390/s17020355

    Article  Google Scholar 

  17. S. Li, R. Peng, Z. Liu, A surveillance system for urban buried pipeline subject to third-party threats based on fiber optic sensing and convolutional neural network. Struct. Health Monit. 20(4), 1704–1715 (2021). https://doi.org/10.1177/1475921720930649

    Article  Google Scholar 

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Acknowledgements

This work is supported by Key R&D Program of Beijing Municipal Education Commission (grant No. KZ20231123226)

Funding

The Funding was provided by Key R & D Program of Beijing Municipal Education Commission, (KZ20231123226), Yandong Gong

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Authors and Affiliations

  1. School of Instrument Science and Opto-Electronic Engineering, Beijing Information Science and Technology University, Beijing, 100192, China

    Yunhong Liao, Ke Li & Yandong Gong

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  1. Yunhong Liao
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  2. Ke Li
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Contributions

LY is the first author and contributed great to this work; LK and LY were involved in the conceptualization; LY and GY assisted in the methodology; LK and LY contributed to the software; LY assisted in the validation; LK and LY were involved in the formal analysis; LY contributed to the investigation, data curation, writing—original draft preparation, writing—review and editing, and visualization; GY assisted in the supervision and funding acquisition. All authors have read and agreed to the published version of the manuscript.

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Correspondence to Yandong Gong.

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Liao, Y., Li, K. & Gong, Y. Research on the noise suppression by φ-OTDR. J Opt (2024). https://doi.org/10.1007/s12596-023-01600-4

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