Novel multi-point disturbance detection method for polarization-sensitive optical time domain reflectometry

Huijuan Wu; Jun Liu; David Atubga; Linqiang Zhang; Yunjiang Rao

doi:10.1117/12.2194495

28 September 2015 Novel multi-point disturbance detection method for polarization-sensitive optical time domain reflectometry

Huijuan Wu, Jun Liu, David Atubga, Linqiang Zhang, Yunjiang Rao

Author Affiliations +

Proceedings Volume 9634, 24th International Conference on Optical Fibre Sensors; 96344Q (2015) https://doi.org/10.1117/12.2194495
Event: International Conference on Optical Fibre Sensors (OFS24), 2015, Curitiba, Brazil

Abstract

Multi-point disturbance detection is always challenging in polarization-sensitive optical time domain reflectometry (POTDR). In this paper, we propose a novel method to solve such a challenging problem by accumulating the temporally differentiated OTDR traces and building up a two-dimensional temporally-spatially evolving graph, and then using edge detection and automatic-clustering, adopted from imaging processing techniques, to discriminate different disturbance points and find out their locations. Many multi-point disturbance cases are tested and the results show that the method proposed has better performance than the conventional direct differentiation method and the Fast Fourier Transform (FFT) spectrum analysis. In particular, the location accuracy has been improved significantly.

Citation Download Citation

Huijuan Wu, Jun Liu, David Atubga, Linqiang Zhang, and Yunjiang Rao "Novel multi-point disturbance detection method for polarization-sensitive optical time domain reflectometry", Proc. SPIE 9634, 24th International Conference on Optical Fibre Sensors, 96344Q (28 September 2015); https://doi.org/10.1117/12.2194495

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

;

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE