Harmful Intrusion Detection Algorithm of Optical Fiber Pre-Warning System Based on Correlation of Orthogonal Polarization Signals
Harmful Intrusion Detection Algorithm of Optical Fiber Pre-Warning System Based on Correlation of Orthogonal Polarization Signals
复制标题
基于正交偏振信号相关性的光纤预警系统有害入侵检测算法
DOI：
10.1007/s13320-017-0399-z
复制
发表时间：
2017-09-01
期刊：
影响因子：
4.4
通讯作者：
Wang, Chonglei
中科院分区：
文献类型：
--
作者：
Bi, Fukun;Feng, Chong;Wang, Chonglei
目前，光纤入侵测量的前沿研究都是基于恒虚警率（CFAR）算法。虽然这些传统的方法克服了非平稳随机信号的干扰，但在实际应用中仍然存在大量的虚警。这是因为目前还没有对虚警与入侵的正交极化信号进行专门的研究。为了进一步降低虚警，我们利用单模光纤的双折射特性分析了光纤信号的相关性。提出了一种基于正交极化信号相关性的有害入侵检测算法。该方法利用相关系数来区分虚警和入侵，降低了虚警率。从实际环境中收集的真实数据实验表明，相关性差是一种鲁棒性特征。实验结果表明，该算法在光纤预警系统（OFPS）中能够有效降低误报率，保证检测性能。
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).