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Journal of Sensors
Volume 2017, Article ID 6020645, 12 pages
https://doi.org/10.1155/2017/6020645
Research Article

The Research on Information Representation of Φ-OTDR Distributed Vibration Signals

1Automation College, Beijing University of Posts and Telecommunications, Beijing 100876, China
2Automation College, Beijing Institute of Technology, Beijing 100080, China
3Institute of Optical Communication Engineering, Nanjing University, Nanjing 210093, China

Correspondence should be addressed to Song Wang; moc.361@gnasgnowgnasgnow

Received 25 June 2017; Revised 7 August 2017; Accepted 13 August 2017; Published 18 September 2017

Academic Editor: Taesun You

Copyright © 2017 Yanzhu Hu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

This paper mainly focuses on the representable problem of -OTDR distributed vibration signals. The research included a signal extraction part and a signal representation part. Firstly, in order to extract the better -OTDR signal, the time-domain data should be fully preserved. The 2D-TESP method is used to extract data in this paper. There are 29 characters in the traditional TESP method. The characters’ number is reduced from 29 to 13 and the characters’ dimension is expanded from 1 to 2 in the 2D-TESP method. Secondly, in order to represent -OTDR signal better, the characteristics of -OTDR data and damped vibration signals are combined in the paper. The EMD method and the NMF method are combined to form the new method in the paper. Some parameters in the proposed method are optimized and adjusted by GA method. After -OTDR data is represented by the proposed method, there is excellent performance both on the length dimension and on the time dimension. Lastly, some experiments are carried out according to the physical truth in this paper. The experiments are carried out in the semianechoic room. The methods of the paper have better performance. The methods are proved to be effective through these experiments.