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    Area of Science:

    • Optical Engineering
    • Fiber Optic Sensing
    • Tomography

    Background:

    • Brillouin gain spectrum analysis is crucial for fiber optic sensing.
    • Current methods face limitations in spatial resolution and signal-to-noise ratio.
    • Optical computed tomography offers potential for advanced spatial reconstruction.

    Purpose of the Study:

    • To propose and experimentally validate a method for reconstructing the spatial distribution of Brillouin gain spectrum using its Radon transform.
    • To combine distributed fiber sensing with computed tomography principles.
    • To achieve high signal-to-noise ratio in Brillouin sensing.

    Main Methods:

    • Development of a method to reconstruct spatial Brillouin gain spectrum from its Radon transform.
    • Experimental implementation using Brillouin optical correlation-domain analysis (BOCDA).
    • Utilizing a linear frequency-modulated continuous-wave (LFMCW) laser for data acquisition.

    Main Results:

    • Successful reconstruction of the spatial distribution of the Brillouin gain spectrum.
    • Experimental detection of a 55-cm strain section along a 10-m optical fiber.
    • Demonstration of high signal-to-noise ratio achieved by combining distributed sensing with computed tomography.

    Conclusions:

    • The proposed optical computed tomography method is effective for spatial reconstruction in Brillouin fiber sensing.
    • The integration of BOCDA and computed tomography enhances sensing performance.
    • This approach offers a promising pathway for advanced, high-fidelity distributed fiber optic sensing.