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Related Experiment Video

Updated: Apr 6, 2026

Writing Bragg Gratings in Multicore Fibers
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Dynamic gate algorithm for multimode fiber Bragg grating sensor systems.

D Ganziy, O Jespersen, G Woyessa

    Applied Optics
    |July 21, 2015
    PubMed
    Summary
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    We developed a new dynamic gate algorithm (DGA) for accurate peak detection. This fast and robust method improves stability and accuracy for sensing systems.

    Area of Science:

    • Optical sensing
    • Signal processing
    • Photonics

    Background:

    • Accurate peak detection is crucial for signal analysis in various sensing applications.
    • Conventional algorithms often face limitations in speed, stability, and accuracy, especially in complex signal environments.

    Purpose of the Study:

    • To introduce a novel dynamic gate algorithm (DGA) for precise and accurate peak detection.
    • To evaluate the performance of the DGA in terms of wavelength fit resolution under varying signal-to-noise ratios and peak shapes.

    Main Methods:

    • Implementation of a dynamic gate algorithm (DGA) utilizing a threshold-determined detection window.
    • Application of a center of gravity algorithm with bias compensation for peak analysis.
    • Simulations and experimental validation of the DGA's performance.

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    Last Updated: Apr 6, 2026

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    Main Results:

    • The DGA demonstrates fast and robust performance in peak detection.
    • The algorithm exhibits superior stability and accuracy compared to conventional methods.
    • Analysis shows good wavelength fit resolution across different signal-to-noise ratios and peak shapes.

    Conclusions:

    • The dynamic gate algorithm (DGA) offers a significant advancement in peak detection technology.
    • Its speed, robustness, stability, and accuracy make it highly suitable for real-time sensing applications.
    • The DGA is particularly promising for implementation in multimode fiber Bragg grating-based sensing systems.