Fiber Bragg Grating Reflection Spectrum Correlation Analysis

Fiber Bragg Grating (FBG) reflection spectrum is a widely used technology in optical and electronic engineering fields, primarily employed for detecting light interference and reflection effects. To implement this technique effectively, we need to utilize MATLAB programming knowledge for data acquisition, processing, and analysis. When conducting FBG reflection spectrum experiments, we typically develop MATLAB programs that incorporate key functions such as data collection from optical sensors, spectral processing algorithms, and visualization tools. These programs often involve implementing correlation algorithms to analyze spectrum characteristics, using functions like fft for Fourier analysis, xcorr for cross-correlation computations, and custom plotting functions for spectral visualization. The developed MATLAB code helps researchers better understand FBG spectral properties through quantitative analysis of peak wavelengths, reflection intensities, and spectral shifts. Furthermore, these programs provide valuable references for future experiments by establishing reproducible data processing pipelines and spectral comparison methodologies. Therefore, learning to develop and apply these MATLAB programs is essential for students and researchers in optical and electronic engineering, as it enables precise spectral characterization and facilitates advanced applications in sensing and communication systems.