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

• Main Authors: Fukun Bi, Chong Feng, Hongquan Qu, Tong Zheng, Chonglei Wang
• Format: Article
• Language: English
• Published: SpringerOpen 2017-05-01
• Series: Photonic Sensors
• Subjects: Optical fiber; birefringence; orthogonal polarization signals; correlation
• Online Access: http://link.springer.com/article/10.1007/s13320-017-0399-z

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).