KLT-Based Algorithm for Sub-Picometer Accurate FBG Tracking with Coarse Wavelength Sampling

Research output: Contribution to journalArticle

14 Citations (Scopus)

Abstract

An algorithm based on Karhunen-Loeve transform (KLT) for accurate tracking of fiber Bragg grating (FBG) sensors is presented. The routine is based on main eigenvalue analysis of the KLT applied to the Fourier transform of the FBG spectrum. The algorithm achieves sub-picometer accuracy, down to 4.9 fm, when applied to coarse (156 pm) wavelength sampling, providing accuracy superior to correlation-based algorithms. Experimental validation has been carried out in a climatic chamber. The proposed algorithm can be applied to any off-the-shelf white-light setup for FBG interrogation, and is compatible with 100-1-kHz operation.

Original languageEnglish
Article number7154433
Pages (from-to)2134-2137
Number of pages4
JournalIEEE Photonics Technology Letters
Volume27
Issue number20
DOIs
Publication statusPublished - Oct 15 2015

Fingerprint

Fiber Bragg gratings
Bragg gratings
sampling
Sampling
Wavelength
fibers
wavelengths
interrogation
gratings (spectra)
shelves
Fourier transforms
eigenvalues
chambers
sensors
Sensors

Keywords

  • digital signal processing
  • FBG demodulation
  • Fiber Bragg grating (FBG)
  • fiber optic sensors (FOS)
  • Karhunen-Loeve transform (KLT)

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Atomic and Molecular Physics, and Optics
  • Electronic, Optical and Magnetic Materials

Cite this

KLT-Based Algorithm for Sub-Picometer Accurate FBG Tracking with Coarse Wavelength Sampling. / Tosi, Daniele.

In: IEEE Photonics Technology Letters, Vol. 27, No. 20, 7154433, 15.10.2015, p. 2134-2137.

Research output: Contribution to journalArticle

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