Harmful Intrusion Detection Algorithm of Optical Fiber Pre-Warning System Based on Correlation of Orthogonal Polarization Signals

作     者：Fukun BI Chong FENG Hongquan QU Tong ZHENG Chonglei WANG 

作者机构：School of Electrical and Information Engineering North China University of Technology Beijing 100144 China Beijing Institute of Technology Department of Information and Electronic Beijing 100081 China 

出 版 物：《Photonic Sensors》 (光子传感器（英文版）)

年 卷 期：2017年第7卷第3期

页      面：226-233页

核心收录：

学科分类：0810[工学-信息与通信工程] 0808[工学-电气工程] 0809[工学-电子科学与技术（可授工学、理学学位）] 07[理学] 08[工学] 070104[理学-应用数学] 0805[工学-材料科学与工程（可授工学、理学学位）] 081001[工学-通信与信息系统] 081101[工学-控制理论与控制工程] 0701[理学-数学] 0811[工学-控制科学与工程] 0702[理学-物理学] 

基　　金：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) 

主　　题：Optical fiber birefringence orthogonal polarization signals correlation 

摘      要：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）.