title: Recognition of a Phase-Sensitivity OTDR Sensing System Based on Morphologic Feature Extraction.
abstract: This paper proposes a novel feature extraction method for intrusion event recognition within a phase-sensitive optical time-domain reflectometer (Φ-OTDR) sensing system. Feature extraction of time domain signals in these systems is time-consuming and may lead to inaccuracies due to noise disturbances. The recognition accuracy and speed of current systems cannot meet the requirements of Φ-OTDR online vibration monitoring systems. In the method proposed in this paper, the time-space domain signal is used for feature extraction instead of the time domain signal. Feature vectors are obtained from morphologic features of time-space domain signals. A scatter matrix is calculated for the feature selection. Experiments show that the feature extraction method proposed in this paper can greatly improve recognition accuracies, with a lower computation time than traditional methods, i.e., a recognition accuracy of 97.8% can be achieved with a recognition time of below 1 s, making it is very suitable for Φ-OTDR system online vibration monitoring.
authors.affiliation: Tianjin University, State Key Laboratory of Precision Measurement Technology & Instruments, 92 Weijin Road, Nankai District, Tianjin 300072, China. sunqiansohu@126.com.
authors.forename: Qian
authors.initials: Q
authors.lastname: Sun
authors.affiliation: Tianjin University, State Key Laboratory of Precision Measurement Technology & Instruments, 92 Weijin Road, Nankai District, Tianjin 300072, China. fenghao@tju.edu.cn.
authors.forename: Hao
authors.initials: H
authors.lastname: Feng
authors.affiliation: Tianjin University, State Key Laboratory of Precision Measurement Technology & Instruments, 92 Weijin Road, Nankai District, Tianjin 300072, China. fightingyxy@126.com.
authors.forename: Xueying
authors.initials: X
authors.lastname: Yan
authors.affiliation: Tianjin University, State Key Laboratory of Precision Measurement Technology & Instruments, 92 Weijin Road, Nankai District, Tianjin 300072, China. zhmzeng@tju.edu.cn.
authors.forename: Zhoumo
authors.initials: Z
authors.lastname: Zeng
keywords: feature extraction; intrusion event recognition; morphology; Φ-OTDR