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Noise analysis method for frequency transfer systems by using ADEV combined with EMD-WT.

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    This summary is machine-generated.

    This study introduces a new method combining Allan deviation (ADEV) with wavelet-transformed empirical mode decomposition (EMD-WT) for analyzing noise in frequency transfer systems. This approach enhances noise discrimination by providing both time-frequency details and numerical stability insights.

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    Area of Science:

    • Signal processing
    • Metrology
    • Telecommunications

    Background:

    • Precision frequency transfer demands high signal phase stability.
    • Long-haul signal propagation introduces various noise components like thermal noise and environmental interference.
    • Conventional Allan deviation (ADEV) offers numerical stability but lacks time-frequency details.

    Purpose of the Study:

    • To develop a comprehensive evaluation system for noise in frequency transfer.
    • To overcome the limitations of ADEV in providing time-frequency characteristics.
    • To enable simultaneous characterization of noise types and their time-frequency properties.

    Main Methods:

    • Integration of Allan deviation (ADEV) with wavelet-transformed empirical mode decomposition (EMD-WT).
    • Development of a novel analytical framework for dual-domain noise analysis.
    • Application of the framework to frequency transfer systems.

    Main Results:

    • Achieved unprecedented dual-domain resolution in noise discrimination.
    • Enabled simultaneous characterization of noise types and time-frequency properties.
    • Provided a more complete evaluation system beyond numerical ADEV.

    Conclusions:

    • The synergistic ADEV and EMD-WT approach offers superior noise analysis capabilities.
    • This novel framework significantly enhances understanding of noise in precision frequency transfer.
    • The method provides a complete evaluation system for signal stability and noise characterization.