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A Random-displacement Measurement by Combining a Magnetic Scale and Two Fiber Bragg Gratings
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The ROGUE: a novel, noise-generated random grating.

Frédéric Monet, Sébastien Loranger, Victor Lambin-Iezzi

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    We developed a new fiber Bragg grating (FBG) called ROGUE, which enhances backscatter for improved distributed sensing. This novel sensor technology offers higher signal-to-noise ratios for accurate strain and temperature measurements.

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    Area of Science:

    • Photonics and Optical Engineering
    • Materials Science
    • Sensor Technology

    Background:

    • Fiber Bragg gratings (FBGs) are crucial for optical sensing.
    • Standard FBGs have limitations in backscatter for distributed sensing applications.
    • Improving signal-to-noise ratio (SNR) is key for enhanced measurement accuracy.

    Purpose of the Study:

    • To introduce a novel fiber Bragg grating, ROGUE (Random Optical Grating by Ultraviolet or ultrafast laser Exposure).
    • To demonstrate ROGUE's capability for enhanced backscatter.
    • To improve distributed sensing performance for strain and temperature measurements.

    Main Methods:

    • Fabrication of ROGUE using random phase dithering during laser exposure.
    • Utilizing optical frequency domain reflectometry (OFDR) for distributed sensing.
    • Characterization of backscatter enhancement and sensor performance.

    Main Results:

    • ROGUE exhibits weak reflection over a large bandwidth, independent of grating length.
    • Achieved several orders of magnitude higher backscatter than standard SMF-28 fiber.
    • Demonstrated a 50 dB higher backscatter level, significantly boosting SNR for strain and temperature sensing.
    • Maintained spatial resolution while reducing noise and accuracy error.

    Conclusions:

    • ROGUE offers a significant advancement in fiber optic sensing technology.
    • The enhanced backscatter of ROGUE compensates for system losses.
    • This technology enables more accurate and reliable distributed strain and temperature measurements.