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Implementation of a Reference Interferometer for Nanodetection
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Rotational speed measurement using self-mixing interferometry.

Yang Liu, Jigou Liu, Ralph Kennel

    Applied Optics
    |June 18, 2021
    PubMed
    Summary
    This summary is machine-generated.

    Self-mixing interferometry (SMI) offers direct rotational speed measurement, overcoming challenges like noise and modulation. A new signal processing method improves Doppler frequency accuracy for reliable speed detection.

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    Area of Science:

    • Optics and Photonics
    • Metrology and Measurement Science

    Background:

    • Self-mixing interferometry (SMI) is a direct method for rotational speed measurement, presenting an alternative to optical encoders.
    • Challenges in SMI include additive noises and signal modulation (amplitude and frequency) caused by spectral broadening.
    • Accurate rotational speed detection is crucial in various industrial and scientific applications.

    Purpose of the Study:

    • To present a signal processing method for accurate rotational speed measurement using SMI.
    • To address and mitigate the limitations of conventional SMI techniques.
    • To enhance the reliability and precision of speed detection systems.

    Main Methods:

    • The proposed method involves signal selection, autocorrelation, and zero-crossing detection.
    • An averaging filter is employed to refine the Doppler frequency determination from the SMI signal.
    • Experimental validation was conducted to assess the method's performance.

    Main Results:

    • The developed signal processing method demonstrates high accuracy in determining Doppler frequency.
    • Experimental results show excellent linearity of the measuring system, within ±0.5%.
    • The normalized root mean square error was found to be ≤0.2%, indicating high precision.

    Conclusions:

    • The presented signal processing technique effectively enhances the accuracy of rotational speed measurement using SMI.
    • The method shows significant potential for overcoming common challenges associated with SMI.
    • This approach offers a robust and precise solution for speed detection applications.