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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
Regular

Abstract

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).

Keywords

Optical fiber birefringence orthogonal polarization signals correlation 

Notes

Acknowledgement

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).

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Copyright information

© The Author(s) 2017

Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/ 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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