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Proceedings Paper

Reaching millikelvin resolution in Raman distributed temperature sensing using image processing
Author(s): Marcelo A. Soto; Jaime A. Ramírez; Luc Thévenaz
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Paper Abstract

Image processing is proposed and experimentally demonstrated to improve the capabilities of Raman distributed optical fibre sensors. The here reported technique consists in stacking consecutive one-dimensional Raman Stokes and anti-Stokes traces in two-dimensional data arrays (one for each Raman component), which are then processed by an image denoising algorithm. Owing to the high level of correlation between consecutive measurements in conventional Raman sensing, it is experimentally demonstrated that this newly-proposed two-dimensional denoising approach provides a significant signal-to-noise ratio improvement, which in this case reaches 13.6 dB with no hardware modification to the conventional set-up. Experimental results demonstrate Raman distributed sensing with a remarkably enhanced temperature resolution of 4 mK at 9 km distance, which is obtained with 2 m spatial resolution and a short acquisition time of 35 s.

Paper Details

Date Published: 30 May 2016
PDF: 4 pages
Proc. SPIE 9916, Sixth European Workshop on Optical Fibre Sensors, 99162A (30 May 2016); doi: 10.1117/12.2236934
Show Author Affiliations
Marcelo A. Soto, Ecole Polytechnique Fédérale de Lausanne (Switzerland)
Jaime A. Ramírez, Ecole Polytechnique Fédérale de Lausanne (Switzerland)
Luc Thévenaz, Ecole Polytechnique Fédérale de Lausanne (Switzerland)


Published in SPIE Proceedings Vol. 9916:
Sixth European Workshop on Optical Fibre Sensors
Elfed Lewis, Editor(s)

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