Fast Raman OFDR via Compressed Sensing – a Numerical Experiment

Thibault North; M. Ali Allousch; Tim Jungbluth; Michel Kocher; Benjamin Marx

doi:10.1364/OFS.2023.Th6.16

28th International Conference on Optical Fiber Sensors
Technical Digest Series (Optica Publishing Group, 2023),
paper Th6.16
•https://doi.org/10.1364/OFS.2023.Th6.16

Fast Raman OFDR via Compressed Sensing – a Numerical Experiment

Thibault North, M. Ali Allousch, Tim Jungbluth, Michel Kocher, and Benjamin Marx

Optical Fiber Sensors 2023

Naka-ku, Hamamatsu-shi Japan
20–24 November 2023
ISBN: 978-1-957171-30-2

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Poster Session III (Th6)

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T. North, M. A. Allousch, T. Jungbluth, M. Kocher, and B. Marx, "Fast Raman OFDR via Compressed Sensing – a Numerical Experiment," in 28th International Conference on Optical Fiber Sensors, Technical Digest Series (Optica Publishing Group, 2023), paper Th6.16.

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Abstract

Raman Optical frequency-domain reflectometry (ROFDR) can take advantage of compressed sensing to retrieve approximate temperature profiles. We numerically show that hotspots can be reconstructed from a small subset of the otherwise required frequencies under some assumptions.

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