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Related Concept Videos

Aliasing01:18

Aliasing

767
Accurate signal sampling and reconstruction are crucial in various signal-processing applications. A time-domain signal's spectrum can be revealed using its Fourier transform. When this signal is sampled at a specific frequency, it results in multiple scaled replicas of the original spectrum in the frequency domain. The spacing of these replicas is determined by the sampling frequency.
If the sampling frequency is below the Nyquist rate, these replicas overlap, preventing the original...
767

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Avoiding Aliasing in Allan Variance: An Application to Fiber Link Data Analysis.

Claudio E Calosso, Cecilia Clivati, Salvatore Micalizio

    IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control
    |January 23, 2016
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    Summary
    This summary is machine-generated.

    This study adapts signal analysis tools to evaluate optical fiber links for ultrastable frequency transfer. It demonstrates using Allan variance (AVAR) to estimate stability, simplifying uncertainty evaluation for phase noise.

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    Area of Science:

    • Physics
    • Metrology
    • Optical Engineering

    Background:

    • Optical fiber links are crucial for transferring ultrastable frequency signals.
    • Phase noise in these signals, up to several kilohertz, complicates uncertainty estimation.
    • Current data processing strategies often overlook or implicitly address phase noise issues.

    Purpose of the Study:

    • To address the challenge of phase noise and aliasing in optical fiber frequency dissemination.
    • To demonstrate the adaptability of standard signal analysis tools for evaluating optical link performance.
    • To establish Allan variance (AVAR) as a sufficient estimator for stability in optical links.

    Main Methods:

    • Framing the phase noise issue as aliasing.
    • Adapting standard signal analysis techniques for optical link performance evaluation.
    • Utilizing Allan variance (AVAR) for stability estimation.

    Main Results:

    • Developed a method to evaluate optical fiber link performance by considering aliasing.
    • Showed that Allan variance (AVAR) can effectively estimate stability without additional estimators.
    • Validated the method on a 1284-km coherent optical link for frequency dissemination.

    Conclusions:

    • The proposed signal analysis approach simplifies uncertainty estimation for optical fiber links.
    • Allan variance (AVAR) is a robust estimator for stability in ultrastable frequency transfer systems.
    • The derived rules are general and applicable to various optical link configurations.