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Correction factors for cross-correlation processing of FBG sensor network data

  • William Stewart
  • , Bram Van Hoe
  • , Geert Van Steenberge
  • , Stephen Schultz
  • , Kara Peters

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

This paper outlines a demodulation technique developed for low-bandwidth, high sensor density fiber Bragg grating (FBG) applications. Currently there are no such demodulation techniques that can be easily scaled to large networks of sensors. The technique takes advantage of known differences in FBG spectral profiles to uniquely identify each multiplexed grating. Known grating profiles are individually cross-correlated with the measured spectrum to locate each Bragg peak. Cross-correlation was used because of its rapid processing speed. This paper covers preliminary experimental validations to identify accuracy limits, as well as investigations into a correction factor for improved accuracy.

Original languageEnglish
Title of host publicationSmart Sensor Phenomena, Technology, Networks, and Systems Integration 2015
EditorsKara J. Peters
PublisherSPIE
ISBN (Electronic)9781628415391
DOIs
StatePublished - 2015
EventSmart Sensor Phenomena, Technology, Networks, and Systems Integration 2015 - San Diego, United States
Duration: Mar 9 2015Mar 10 2015

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume9436

Conference

ConferenceSmart Sensor Phenomena, Technology, Networks, and Systems Integration 2015
Country/TerritoryUnited States
CitySan Diego
Period03/9/1503/10/15

Keywords

  • Cross-correlation
  • Fiber Bragg gratings
  • Multiplexing
  • Sensor networks

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