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

Research output: Contribution to journalArticle

41 Citations (Scopus)

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.
Original languageEnglish
Number of pages35
JournalSensors
Volume17
Issue number10
DOIs
Publication statusPublished - Oct 2017

Fingerprint

Fiber Bragg gratings
Bragg gratings
fibers
sensors
Sensors
Signal-To-Noise Ratio
Noise
Temperature
tracking problem
resilience
Wavelength
interrogation
Fiber optic sensors
gratings (spectra)
wavelengths
coupled modes
Sensor networks
interpolation
fiber optics
Signal to noise ratio

Cite this

Review and Analysis of Peak Tracking Techniques for Fiber Bragg Grating Sensors. / Tosi, Daniele.

In: Sensors, Vol. 17, No. 10, 10.2017.

Research output: Contribution to journalArticle

@article{6bb383c2cf404c35aac6ea3d993db9d3,
title = "Review and Analysis of Peak Tracking Techniques for Fiber Bragg Grating Sensors",
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.",
author = "Daniele Tosi",
year = "2017",
month = "10",
doi = "10.3390/s1710236",
language = "English",
volume = "17",
journal = "Sensors",
issn = "1424-3210",
publisher = "Multidisciplinary Digital Publishing Institute (MDPI)",
number = "10",

}

TY - JOUR

T1 - Review and Analysis of Peak Tracking Techniques for Fiber Bragg Grating Sensors

AU - Tosi, Daniele

PY - 2017/10

Y1 - 2017/10

N2 - 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.

AB - 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.

U2 - 10.3390/s1710236

DO - 10.3390/s1710236

M3 - Article

VL - 17

JO - Sensors

JF - Sensors

SN - 1424-3210

IS - 10

ER -