Effect of parameters in moving average method for event detection enhancement using phase sensitive OTDR

Yong-Seok Kwon; Khurram Naeem; Min Yong Jeon; Il-bum Kwon

doi:10.1117/12.2267465

23 April 2017 Effect of parameters in moving average method for event detection enhancement using phase sensitive OTDR

Yong-Seok Kwon, Khurram Naeem, Min Yong Jeon, Il-bum Kwon

Proceedings Volume 10323, 25th International Conference on Optical Fiber Sensors; 103238Y (2017) https://doi.org/10.1117/12.2267465
Event: 25th International Conference on Optical Fiber Sensors, 2017, Jeju, Korea, Republic of

Abstract

We analyze the relations of parameters in moving average method to enhance the event detectability of phase sensitive optical time domain reflectometer (OTDR). If the external events have unique frequency of vibration, then the control parameters of moving average method should be optimized in order to detect these events efficiently. A phase sensitive OTDR was implemented by a pulsed light source, which is composed of a laser diode, a semiconductor optical amplifier, an erbium-doped fiber amplifier, a fiber Bragg grating filter, and a light receiving part, which has a photo-detector and high speed data acquisition system. The moving average method is operated with the control parameters: total number of raw traces, M, number of averaged traces, N, and step size of moving, n. The raw traces are obtained by the phase sensitive OTDR with sound signals generated by a speaker. Using these trace data, the relation of the control parameters is analyzed. In the result, if the event signal has one frequency, then the optimal values of N, n are existed to detect the event efficiently.

Citation Download Citation

Yong-Seok Kwon, Khurram Naeem, Min Yong Jeon, and Il-bum Kwon "Effect of parameters in moving average method for event detection enhancement using phase sensitive OTDR", Proc. SPIE 10323, 25th International Conference on Optical Fiber Sensors, 103238Y (23 April 2017); https://doi.org/10.1117/12.2267465

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

Includes PDF, HTML & Video, when available