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

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.
• 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.