Numerical modeling and signal to noise ratio evaluation of correlation pulsing code techniques in a Raman-Rayleigh distributed temperature fiber sensor

M. F. Grobler; J. J. M. Kaboko; M. Shimaponda; R. M. Martinez

doi:10.1117/12.2245178

3 February 2017 Numerical modeling and signal to noise ratio evaluation of correlation pulsing code techniques in a Raman-Rayleigh distributed temperature fiber sensor

M. F. Grobler, J. J. M. Kaboko, M. Shimaponda, R. M. Martinez

Author Affiliations +

Proceedings Volume 10036, Fourth Conference on Sensors, MEMS, and Electro-Optic Systems; 100360T (2017) https://doi.org/10.1117/12.2245178
Event: Fourth Conference on Sensors, MEMS and Electro-Optic Systems, 2016, Skukuza, Kruger National Park, South Africa

Abstract

A distributed temperature fiber sensor based on the ratio of the Raman anti-Stokes to Rayleigh backscattered light components was investigated. The aim of the study was to propose a method of quantifying the interferometric noise exhibited in the Rayleigh backscattered signal and use correlation coding techniques to increase the signal-to-noise ratio noise in the Raman-Rayleigh backscattered signal.

Optical pulse correlation codes, namely uniform amplitude random duty cycle and random amplitude random duty cycle, were implemented to quantify the interferometric noise. Both correlating coding techniques were compared and evaluated in a Raman-Rayleigh distributed temperature fiber sensor. The uniform amplitude random duty cycle correlation code technique showed better performance in terms of signal to noise ratio compared to the random amplitude random duty cycle technique as well as increasing the number of averaged traces for each technique.

Citation Download Citation

M. F. Grobler, J. J. M. Kaboko, M. Shimaponda, and R. M. Martinez "Numerical modeling and signal to noise ratio evaluation of correlation pulsing code techniques in a Raman-Rayleigh distributed temperature fiber sensor", Proc. SPIE 10036, Fourth Conference on Sensors, MEMS, and Electro-Optic Systems, 100360T (3 February 2017); https://doi.org/10.1117/12.2245178

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