Photonic Sensors

, Volume 7, Issue 3, pp 226–233 | Cite as

Harmful intrusion detection algorithm of optical fiber pre-warning system based on correlation of orthogonal polarization signals

  • Fukun Bi
  • Chong Feng
  • Hongquan Qu
  • Tong Zheng
  • Chonglei Wang
Open Access


At present, advanced researches of optical fiber intrusion measurement are based on the constant false alarm rate (CFAR) algorithm. Although these conventional methods overcome the interference of non-stationary random signals, there are still a large number of false alarms in practical applications. This is because there is no specific study on orthogonal polarization signals of false alarm and intrusion. In order to further reduce false alarms, we analyze the correlation of optical fiber signals using birefringence of single-mode fiber. This paper proposes the harmful intrusion detection algorithm based on the correlation of two orthogonal polarization signals. The proposed method uses correlation coefficient to distinguish false alarms and intrusions, which can decrease false alarms. Experiments on real data, which are collected from the practical environment, demonstrate that the difference in correlation is a robust feature. Furthermore, the results show that the proposed algorithm can reduce the false alarms and ensure the detection performance when it is used in optical fiber pre-warning system (OFPS).


Optical fiber birefringence orthogonal polarization signals correlation 



This work was supported by the National Nature Science Foundation of China (Grant Nos. 61571014, 61601006); Beijing Nature Science Foundation (Grant No. 4172017); General project of science and technology program of Beijing Education Commission(Grant No. KM201610009004).


  1. [1]
    Z. G. Qu, H. Feng, Z. M. Zeng, J. C. Zhuge, and S. J. Jin, “A SVM-based pipeline leakage detection and pre-warning system,” Measurement, 2010, 43(4): 513–519.CrossRefGoogle Scholar
  2. [2]
    J. Kang and Z. H. Zou, “Time prediction model for pipeline leakage based on grey relational analysis,” Physics Procedia, 2010, 25(2): 2019–2024.Google Scholar
  3. [3]
    W. Liang, L. L. Lu, and L. B. Zhang, “Coupling relations and early-warning for ‘equipment chain’ in long-distance pipeline,” Mechanical Systems and Signal Processing, 2013, 41(1–2): 335–347.ADSCrossRefGoogle Scholar
  4. [4]
    W. Liang, L. B. Zhang, Q. Q. Xu, and C. Y. Yan, “Gas pipeline leakage detection based on acoustic technology,” Engineering Failure Analysis, 2013, 31(6): 1–7.CrossRefGoogle Scholar
  5. [5]
    T. T. Zhang, Y. F. Tan, H. X. Yang, J. H. Zhao, and X. D. Zhang, “Locating gas pipeline leakage based on stimulus-response method,” Energy Procedia, 2014, 61: 207–210.CrossRefGoogle Scholar
  6. [6]
    Q. Y. Lv, L. J. Li, H. B. Wang, Q. Li, and X. Zhong, “Influences of laser on fiber-optical distributed disturbance sensor based on F-OTDR,” Infrared and Laser Engineering, 2014, 43(12): 3918–3923.Google Scholar
  7. [7]
    H. F. Martins, S. Martin-Lopez, P. Corredera, M. L. Filograno, O. Frazão, and M. Gonzáez-Herraez, “Coherent noise reduction in high visibility phase-sensitive optical time domain reflectometer for distributed sensing of ultrasonic waves,” Journal of Lightwave Technology, 2013, 31(23): 3631–3637.ADSCrossRefGoogle Scholar
  8. [8]
    Q. Li, C. X. Zhang, L. J. Li, and X. Zhong, “Localization mechanisms and location methods of the disturbance sensor based on phase-sensitive OTDR,” Optik–International Journal for Light and Electron Optics, 2014, 125(9): 2099–2103.CrossRefGoogle Scholar
  9. [9]
    Q. Lin, C. X. Zhang, and C. S. Li, “Fiber-optic distributed sensor based on phase-sensitive OTDR and wavelet packet transform for multiple disturbances location,” Optik–International Journal for Light and Electron Optics, 2014, 125(24): 7235–7238.CrossRefGoogle Scholar
  10. [10]
    A. R. Bahrampour and F. Maaoumi, “Resolution enhancement in long pulse OTDR for application in structural health monitoring,” Optical Fiber Technology, 2010, 16(4): 240–249.ADSCrossRefGoogle Scholar
  11. [11]
    L. D. Lu, Y. J. Song, X. J. Song, X. P. Zhang, and F. Zhu, “Frequency decision multiplexing OTDR with fast signal processing”, Optics & Laser Technology, 2012, 44(7): 2206–2209.ADSCrossRefGoogle Scholar
  12. [12]
    H. Q. Qu, T. Zheng, F. K. Bi, and L. P. Pang, “Vibration detection method for optical fiber pre-warning system,” IET Signal Process, 2016, 10(6): 692–698.CrossRefGoogle Scholar
  13. [13]
    H. Q. Qu, T. Zheng, L. P. Pang, and X. L. Li, “A new two-dimension method to detect harmful intrusion vibrations for optical fiber pre-warning system,” Optik–International Journal for Light and Electron Optics, 2016, 127(10): 4461–4469.CrossRefGoogle Scholar
  14. [14]
    R. L. Zhang, W. X. Sheng, and X. F. Ma, “Improved switching CFAR detector for non-homogeneous environments,” Signal Processing, 2013, 93(1): 35–48.CrossRefGoogle Scholar
  15. [15]
    G. V. Weinberg, “Management of interference in Pareto CFAR processes using adaptive test cell analysis,” Signal Processing, 2014, 104(104): 264–273.CrossRefGoogle Scholar
  16. [16]
    B. Shi, C. P. Hao, C. H. Hou, X. C. Ma, and C. Y. Peng, “Parametric Rao test for multichannel adaptive detection of range-spread target in partially homogeneous environments,” Signal Processing, 2015, 108(108): 421–429.CrossRefGoogle Scholar
  17. [17]
    M. Karimi, T. Sun, and K. T. V. Grattan, “Design evaluation of a high birefringence single mode optical fiber-based sensor for lateral pressure monitoring applications,” IEEE Sensors Journal, 2013, 13(11): 4459–4464.CrossRefGoogle Scholar
  18. [18]
    L. Palmieri, A. Galtarossa, and T. Geisler, “Distributed characterization of bending effects on the birefringence of single-mode optical fibers,” Optics Letters, 2010, 35(14): 2481–2483.ADSCrossRefGoogle Scholar
  19. [19]
    Z. Y. Li, C. Q. Wu, H. Dong, P. Shum, C. Y. Tian, S. Zhao, “Stress distribution and induced birefringence analysis for pressure vector sensing based on single mode fibers,” Optics Express, 2008, 16(6): 3955–3960.ADSCrossRefGoogle Scholar
  20. [20]
    B. Y. Kim and S. S. Choi, “Backscattering measurement of bending-induced birefringence in single mode fibres,” Electronics Letters, 1981, 17(5): 193–194.CrossRefGoogle Scholar
  21. [21]
    O. G. Leminger, “Stress birefringence in single-mode fibres,” Electronics Letters, 1977, 13(12): 370–371.CrossRefGoogle Scholar

Copyright information

© The Author(s) 2017

Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Authors and Affiliations

  • Fukun Bi
    • 1
  • Chong Feng
    • 1
  • Hongquan Qu
    • 1
  • Tong Zheng
    • 1
  • Chonglei Wang
    • 2
  1. 1.School of Electrical and Information EngineeringNorth China University of TechnologyBeijingChina
  2. 2.Beijing Institute of Technology Department of Information and ElectronicBeijingChina

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