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Review and Analysis of Peak Tracking Techniques for Fiber Bragg Grating Sensors

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dc.contributor.author Tosi, Daniele
dc.date.accessioned 2019-04-24T12:04:40Z
dc.date.available 2019-04-24T12:04:40Z
dc.date.issued 2017-10-17
dc.identifier.citation Tosi, D. Review and Analysis of Peak Tracking Techniques for Fiber Bragg Grating Sensors. Sensors 2017, 17, 2368. en_US
dc.identifier.uri http://dx.doi.org/10.3390/s17102368
dc.identifier.uri http://nur.nu.edu.kz/handle/123456789/3836
dc.description.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. en_US
dc.language.iso en en_US
dc.publisher MDPI en_US
dc.rights Attribution-NonCommercial-ShareAlike 3.0 United States *
dc.rights.uri http://creativecommons.org/licenses/by-nc-sa/3.0/us/ *
dc.subject Fiber Bragg Grating (FBG) en_US
dc.subject optical fiber sensors (OFS) en_US
dc.subject optical sensors en_US
dc.subject peak tracking en_US
dc.subject wavelength shift estimation en_US
dc.title Review and Analysis of Peak Tracking Techniques for Fiber Bragg Grating Sensors en_US
dc.type Article en_US
workflow.import.source science

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