3 February 2017 Numerical modeling and signal to noise ratio evaluation of correlation pulsing code techniques in a Raman-Rayleigh distributed temperature fiber sensor
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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.
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M. F. Grobler, M. F. Grobler, J. J. M. Kaboko, J. J. M. Kaboko, M. Shimaponda, M. Shimaponda, R. M. Martinez, 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); doi: 10.1117/12.2245178; https://doi.org/10.1117/12.2245178
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