基于Mach-Zehnder干涉仪的光纤入侵行为识别系统  

Fiber-optic intrusion recognition system based on Mach-Zehnder interferometer

作　　者：陶沛琳[1,2] 延凤平[1,2] 刘鹏[1,2] 彭万敬[1,2] 李琦[1,2] 冯亭[1,2] 

机构地区：[1]北京交通大学光波技术研究所,北京100044 [2]全光网络与现代通信网教育部重点实验室,北京100044

出　　处：《量子电子学报》2011年第2期183-190,共8页Chinese Journal of Quantum Electronics

基　　金：中央高校基本科研业务费专项资金资助(2009YJS015)

摘　　要：为实现高精度识别功能,基于Mach-Zehnder光纤传感器建立光纤入侵行为识别系统。引入多元回归统计原理,建立常用信号特征参量与设定因变量之间的多元回归方程。通过逐步引入校验方法,验证回归模型的显著性校验,实现特征的优化选取。利用选取的有效特征,构造基于感知准则的入侵行为识别系统.实验证明基于多元统计原理的入侵行为识别系统具有良好的识别准确率,且识别准确率达到83.33%。Based on Mach-Zehnder interferometer,the fiber-optic intrusion recognition system was established to realize high precision recognition system.By introducing the principle of multiple regression statistics,the multiple regression equations between signal characteristics parameters and dependent variable were set up.Optimal selection of characteristics was realized by the administration of a significance test on the regression model with method of gradually introducing.Classifier was designed based on perception with optimizing characteristics to establish fiber-optic intrusion recognition system.The test results indicate that the recognition system based on multiple regression has accuracy of identification is 83.33%.

关 键 词：光电子学 识别系统 MACH-ZEHNDER干涉仪 多元回归 感知准则 入侵 

分 类 号：TN253[电子电信—物理电子学] TP212[自动化与计算机技术—检测技术与自动化装置]