Source separation and distributed sensing: The key of an efficient monitoring

Jerome I. Mars (1) , Edouard Buchoud (1) , Valeriu Vrabie (2) , A. A. Khan (3) , Sylvain Blairon (4) , Guy d'Urso (4)

1 GIPSA-SIGMAPHY - GIPSA - Signal Images Physique
2 CRESTIC - Centre de Recherche en Sciences et Technologies de l'Information et de la Communication - EA 3804
3 SEECS, National University of Sciences and Technology, Islamabad, Pakistan
4 EDF - EDF

As a complement to classical sensors, Distributed Optical Fiber Sensors now play a prominent role in several engineering fields and act as an antenna array. Depending of the devices used (Raman, Rayleigh, or Brillouin scattering), measurement records depend on temperature, strain, or pressure profile. As the wanted signal is often hidden by noise and other undesired sources, we can express the problem as a source separation problem. In this paper, we show that with the help of recent techniques based on data decomposition and source separation (PCA, ICA, NMF techniques) from the virtual antenna, we can accurately identify water leakages from a noisy Raman spectra or a strain profile from Brillouin spectra with a spatial resolution of 1cm instead of 1 meter for classical devices.

Mots clés: Source separation; Optic Fiber; SVD; ICA

Domaines: Traitement du signal et de l'image [eess.SP]; Traitement du signal et de l'image [eess.SP]

Jerome I. Mars, Edouard Buchoud, Valeriu Vrabie, A. A. Khan, Sylvain Blairon, et al.. Source separation and distributed sensing: The key of an efficient monitoring. CAMSAP 2013 - 5th IEEE workshop on Computational Advances in Multi-Sensor Adaptive Processing, Dec 2013, Saint Martin, France. pp.264-267. ⟨hal-00923555⟩