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Demodulation of Fibre Bragg Grating Sensors by Using Cumulative Sum as a Preprocessing Method.

Sławomir Cięszczyk¹, Marek Kida¹, Patryk Panas¹

¹Institute of Electronics and Information Technology, Lublin University of Technology, Nadbystrzycka 38A, 20-618 Lublin, Poland.

Sensors (Basel, Switzerland)

|February 13, 2025

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Cumulative preprocessing simplifies wavelength shift determination for Fibre Bragg gratings (FBGs). This noise-reducing technique enhances FBG sensor accuracy and data analysis efficiency.

Area of Science:

Photonics and Optical Sensing
Signal Processing

Background:

Fibre Bragg gratings (FBGs) are widely used sensors due to their spectral modulation capabilities.
Accurate wavelength shift determination is crucial for FBG-based measurements.
Existing demodulation methods often suffer from complexity and limited accuracy improvements.

Purpose of the Study:

To introduce and evaluate cumulative preprocessing as a simplified method for FBG signal processing.
To demonstrate the advantages of cumulative preprocessing in reducing noise and simplifying wavelength shift determination.
To explore the combination of cumulative preprocessing with other signal processing techniques.

Main Methods:

Implementation of cumulative preprocessing for FBG spectral data.
Comparative analysis of cumulative preprocessing against traditional spectrum denoising methods.

Keywords:

FBG sensors demodulation algorithm wavelength shift

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Integration of cumulative preprocessing with algorithms for wavelength shift detection.

Main Results:

Cumulative preprocessing effectively reduces noise in FBG spectral signals.
The method significantly simplifies the subsequent wavelength shift determination process.
Demonstrated superior simplicity compared to complex spectrum denoising techniques.
Showcased potential for enhanced accuracy in FBG sensing applications.

Conclusions:

Cumulative preprocessing offers a simple yet effective approach to enhance FBG sensor performance.
This method reduces noise and streamlines data analysis, improving measurement efficiency.
It presents a viable alternative to complex demodulation techniques for FBG applications.