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

摘要

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.