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    This study introduces undersampling theory to reduce data acquisition speed for phase-sensitive optical time-domain reflectometry (ϕ-OTDR). This significantly lowers computational burden in fiber distributed acoustic sensing systems.

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    Area of Science:

    • Optical Engineering
    • Signal Processing
    • Fiber Optics

    Background:

    • Phase-sensitive optical time-domain reflectometry (ϕ-OTDR) is crucial for fiber distributed acoustic sensing.
    • High data acquisition rates in ϕ-OTDR systems create substantial computational challenges.

    Purpose of the Study:

    • To reduce the high sampling frequency requirement in coherent detection-based ϕ-OTDR.
    • To alleviate the computational burden associated with phase-measuring ϕ-OTDR systems.

    Main Methods:

    • Analysis of the beat signal's power spectrum.
    • Application of undersampling theory to reduce sampling frequency needs.
    • Determination of optimal sampling frequency and filter bandwidth to prevent aliasing.

    Main Results:

    • Successful demodulation of phase signals at a reduced sampling rate of 71 MSa/s for a 200 MHz beat signal.
    • Demonstration that the proposed method works without significant system modifications.

    Conclusions:

    • Undersampling theory effectively reduces sampling requirements in coherent ϕ-OTDR.
    • The proposed method offers a practical solution to lower computational load in fiber optic sensing.