Fibre Bragg Grating Wavelength Shift Demodulation with Filtering and Enhancement of Spectra by Simple Nonlinear Signal Processing

A novel approach to fibre Bragg grating spectra processing is proposed. The method is based on the use of nonlinear filtration and raising the spectrum value to the second power. A combination of geometric and arithmetic mean filtering is used as nonlinear filtration. The properties of the denoising method are presented on simulation data with different signal-to-noise ratios and on experimental data. The most advantageous combination is raising the intensity of the spectrum to the square power preceded by its significant smoothing. The centroid, fast phase correlation, and cross-correlation methods are used to determine the wavelength shift in the spectrum. To obtain experimental data, measurements of the FBG in reflection mode placed in a temperature chamber with the possibility of temperature control are obtained. The simulations, measurements, and their numerical analysis confirm the usefulness of the proposed methods for demodulating the wavelength shift of FBG spectra.

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Publication Details

Journal
Applied Sciences
Published
2025-03-20
DOI
https://doi.org/10.3390/app15063384
Citations
4
Primary Topic
Advanced Fiber Optic Sensors
Type
article
Field-Weighted Citation Impact
2.92

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article

Fibre Bragg Grating Wavelength Shift Demodulation with Filtering and Enhancement of Spectra by Simple Nonlinear Signal Processing

Sławomir Cięszczyk, Patryk Panas, Krzysztof Skorupski, Marek Kida
4 citations
Applied Sciences
Advanced Fiber Optic Sensors
2.92
article

Fibre Bragg Grating Wavelength Shift Demodulation with Filtering and Enhancement of Spectra by Simple Nonlinear Signal Processing

Sławomir Cięszczyk, Patryk Panas, Krzysztof Skorupski, Marek Kida
article en
4 citations

Abstract

A novel approach to fibre Bragg grating spectra processing is proposed. The method is based on the use of nonlinear filtration and raising the spectrum value to the second power. A combination of geometric and arithmetic mean filtering is used as nonlinear filtration. The properties of the denoising method are presented on simulation data with different signal-to-noise ratios and on experimental data. The most advantageous combination is raising the intensity of the spectrum to the square power preceded by its significant smoothing. The centroid, fast phase correlation, and cross-correlation methods are used to determine the wavelength shift in the spectrum. To obtain experimental data, measurements of the FBG in reflection mode placed in a temperature chamber with the possibility of temperature control are obtained. The simulations, measurements, and their numerical analysis confirm the usefulness of the proposed methods for demodulating the wavelength shift of FBG spectra.

Applied SciencesVol. 15(6)
Lublin University of Technology (PL)
Politechnika Lubelska
Openalex Percentile: Top 10%
Advanced Fiber Optic Sensors
2.92
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Fibre Bragg Grating Wavelength Shift Demodulation with Filtering and Enhancement of Spectra by Simple Nonlinear Signal Processing — Sławomir Cięszczyk, Patryk Panas, et al. · Applied Sciences (2025) | TGRS Research Map | TGRS