Ultrafast Temperature Extraction Using Support Vector Machine Based Data Classifier for BOTDA Sensors

被引：0
|
作者：
Wang, Liang [1 ]
Wu, Huan [1 ]
Guo, Nan [2 ]
Shu, Chester [1 ]
Lu, Chao [2 ]
机构：
[1] Chinese Univ Hong Kong, Dept Elect Engn, Shatin, Hong Kong, Peoples R China
[2] Hong Kong Polytech Univ, Dept Elect & Informat Engn, Kowloon, Hong Kong, Peoples R China
来源：
43RD EUROPEAN CONFERENCE ON OPTICAL COMMUNICATION (ECOC 2017) | 2017年
关键词：
BRILLOUIN FREQUENCY-SHIFT; FIBER;
D O I：
暂无
中图分类号：
O43 [光学];
学科分类号：
070207 ; 0803 ;
摘要：
SVM has been successfully employed in BOTDA system to extract temperature information along fiber. It shows good robustness to a wide range of experiment parameters and its processing speed is 100 times faster than that of conventional Lorentzian fitting technique.
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页数：3
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