Research and Software Design of an Φ-OTDR-Based Optical Fiber Vibration Recognition Algorithm
Joint Authors
Han, Dezhi
Tabi Fouda, Bernard Marie
An, Bowen
Chen, Xiangzhi
Source
Journal of Electrical and Computer Engineering
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-01-24
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Information Technology and Computer Science
Abstract EN
Distributed optical fiber vibration signal plays a significant role in the communication and safety of any perimeter security monitoring system.
It uses light as an information carrier and optical fiber as a means of signal transmission and communication.
Phase-sensitive optical time-domain reflectometry (Φ-OTDR) is used to detect the signals generated during events (intrusions or nonintrusion).
This paper proposes the time-frequency characteristic (TFC) method for the recognition of the fiber vibration signal and designs and implements the corresponding software function module.
The combination of time-domain features and time-frequency-domain features is called TFC; and it is based on the Hilbert transform and on the empirical mode decomposition (EMD) of time-frequency entropy and center-of-gravity frequency that is described.
A feature vector is formed, and multiple types of probabilistic neural networks (PNNs) are performed on it to determine whether intrusion events occur.
The experimental simulation results show that the monitoring system software can intelligently display the data collected in real time, which demonstrates that the proposed method is effective and reliable in identifying and classifying accurately the types of events.
The data processing time is less than 2 s, and the accuracy of the system identification can reach 99%, which ensures the system’s validity.
American Psychological Association (APA)
Tabi Fouda, Bernard Marie& Han, Dezhi& An, Bowen& Chen, Xiangzhi. 2020. Research and Software Design of an Φ-OTDR-Based Optical Fiber Vibration Recognition Algorithm. Journal of Electrical and Computer Engineering،Vol. 2020, no. 2020, pp.1-13.
https://search.emarefa.net/detail/BIM-1183918
Modern Language Association (MLA)
Tabi Fouda, Bernard Marie…[et al.]. Research and Software Design of an Φ-OTDR-Based Optical Fiber Vibration Recognition Algorithm. Journal of Electrical and Computer Engineering No. 2020 (2020), pp.1-13.
https://search.emarefa.net/detail/BIM-1183918
American Medical Association (AMA)
Tabi Fouda, Bernard Marie& Han, Dezhi& An, Bowen& Chen, Xiangzhi. Research and Software Design of an Φ-OTDR-Based Optical Fiber Vibration Recognition Algorithm. Journal of Electrical and Computer Engineering. 2020. Vol. 2020, no. 2020, pp.1-13.
https://search.emarefa.net/detail/BIM-1183918
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1183918