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

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18 Citations (Scopus)


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
Issue number20
Publication statusPublished - Oct 15 2015


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

ASJC Scopus subject areas

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

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