Abstract:
Fiber Bragg Grating (FBG) sensors are among the most popular elements for fiber
optic sensor networks used for the direct measurement of temperature and strain. Modern FBG
interrogation setups measure the FBG spectrum in real-time, and determine the shift of the Bragg
wavelength of the FBG in order to estimate the physical parameters. The problem of determining
the peak wavelength of the FBG from a spectral measurement limited in resolution and noise, is
referred as the peak-tracking problem. In this work, the several peak-tracking approaches are
reviewed and classified, outlining their algorithmic implementations: the methods based on direct
estimation, interpolation, correlation, resampling, transforms, and optimization are discussed in
all their proposed implementations. Then, a simulation based on coupled-mode theory compares
the performance of the main peak-tracking methods, in terms of accuracy and signal to noise
ratio resilience.