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Proceedings Paper

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

Paper Details

Date Published: 27 March 2015
PDF: 7 pages
Proc. SPIE 9436, Smart Sensor Phenomena, Technology, Networks, and Systems Integration 2015, 943605 (27 March 2015); doi: 10.1117/12.2084829
Show Author Affiliations
William Stewart, North Carolina State Univ. (United States)
Bram Van Hoe, North Carolina State Univ (United States)
Univ. Gent (Belgium)
Geert Van Steenberge, Univ. Gent (Belgium)
Stephen Schultz, Brigham Young Univ. (United States)
Kara Peters, North Carolina State Univ. (United States)


Published in SPIE Proceedings Vol. 9436:
Smart Sensor Phenomena, Technology, Networks, and Systems Integration 2015
Kara J. Peters, Editor(s)

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