Advanced interrogation of fiber-optic bragg grating and fabry-perot sensors with KLT analysis

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18 Citations (Scopus)


The Karhunen-Loeve Transform (KLT) is applied to accurate detection of optical fiber sensors in the spectral domain. By processing an optical spectrum, although coarsely sampled, through the KLT, and subsequently processing the obtained eigenvalues, it is possible to decode a plurality of optical sensor results. The KLT returns higher accuracy than other demodulation techniques, despite coarse sampling, and exhibits higher resilience to noise. Three case studies of KLT-based processing are presented, representing most of the current challenges in optical fiber sensing: (1) demodulation of individual sensors, such as Fiber Bragg Gratings (FBGs) and Fabry-Perot Interferometers (FPIs); (2) demodulation of dual (FBG/FPI) sensors; (3) application of reverse KLT to isolate different sensors operating on the same spectrum. A simulative outline is provided to demonstrate the KLT operation and estimate performance; a brief experimental section is also provided to validate accurate FBG and FPI decoding.

Original languageEnglish
Pages (from-to)27470-27492
Number of pages23
JournalSensors (Switzerland)
Issue number11
Publication statusPublished - Oct 29 2015


  • Fabry-Perot interferometry (FPI)
  • Fiber Bragg grating (FBG)
  • Karhunen-loeve transform (KLT)
  • Optical fiber sensors (OFS)
  • Optical sensor demodulation
  • Optical signal processing

ASJC Scopus subject areas

  • Analytical Chemistry
  • Biochemistry
  • Atomic and Molecular Physics, and Optics
  • Instrumentation
  • Electrical and Electronic Engineering

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