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The Discrete Fourier Transform (DFT) is a fundamental tool in signal processing, extending the discrete-time Fourier transform by evaluating discrete signals at uniformly spaced frequency intervals. This transformation converts a finite sequence of time-domain samples into frequency components, each representing complex sinusoids ordered by frequency. The DFT translates these sequences into the frequency domain, effectively indicating the magnitude and phase of each frequency component present...
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Related Experiment Video

Updated: Jul 12, 2025

Fiber Optic Distributed Sensors for High-resolution Temperature Field Mapping
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High-spatial-resolution distributed acoustic sensor based on the time-frequency-multiplexing OFDR.

Zixuan Zhong, Tao Liu, Haoting Wu

    Optics Letters
    |November 1, 2023
    PubMed
    Summary
    This summary is machine-generated.

    We developed a novel distributed acoustic sensor using time-frequency-multiplexing optical frequency domain reflectometry. This system achieves high spatial resolution for vibration detection, improving sensing capabilities.

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    Area of Science:

    • Optoelectronics
    • Fiber Optic Sensing
    • Acoustic Monitoring

    Background:

    • Distributed acoustic sensing (DAS) is crucial for various monitoring applications.
    • Traditional optical frequency domain reflectometry (OFDR) faces limitations in spatial resolution and crosstalk.

    Purpose of the Study:

    • To propose and demonstrate a high-spatial-resolution distributed acoustic sensor.
    • To enhance the performance of OFDR for acoustic sensing applications.

    Main Methods:

    • Utilized time-frequency-multiplexing (TFM) to multiplex time-frequency channels, enhancing OFDR frequency response and suppressing crosstalk.
    • Employed phase demodulation for high-sensitivity measurements.
    • Investigated and mitigated the end effect in OFDR using linear interpolation.

    Main Results:

    • Achieved a 10.5 kHz vibration measurement with 22 cm spatial resolution and 20 dB signal-to-noise ratio over a 1 km fiber.
    • Demonstrated effective distributed acoustic sensing performance for a 33 kHz vibration with a sampling rate up to 200 kHz.

    Conclusions:

    • The proposed TFM-OFDR system offers a significant advancement in high-spatial-resolution distributed acoustic sensing.
    • The developed techniques effectively address limitations of conventional OFDR, enabling precise vibration monitoring.