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

William Stewart; Bram Van Hoe; Geert Van Steenberge; Stephen Schultz; Kara Peters

doi:10.1117/12.2084829

27 March 2015 Correction factors for cross-correlation processing of FBG sensor network data

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

Proceedings Volume 9436, Smart Sensor Phenomena, Technology, Networks, and Systems Integration 2015; 943605 (2015) https://doi.org/10.1117/12.2084829
Event: SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring, 2015, San Diego, California, United States

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.

Citation Download Citation

William Stewart, Bram Van Hoe, Geert Van Steenberge, Stephen Schultz, and Kara Peters "Correction factors for cross-correlation processing of FBG sensor network data", Proc. SPIE 9436, Smart Sensor Phenomena, Technology, Networks, and Systems Integration 2015, 943605 (27 March 2015); https://doi.org/10.1117/12.2084829

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