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Vibration measurement technology based on the reverse point recognition algorithm for laser self-mixing interference.

Xiangyu Cui, Linna Cai, Hangyu Yue

    Applied Optics
    |February 24, 2022
    PubMed
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    This study introduces a novel vibration measurement technique using self-mixing interference (SMI) laser signals. The method accurately extracts microvibration data with high precision, simplifying displacement reconstruction.

    Area of Science:

    • Optics and Photonics
    • Laser Physics
    • Vibration Analysis

    Background:

    • Self-mixing interference (SMI) signals contain valuable information about external moving objects.
    • Extracting and analyzing SMI signals is crucial for understanding object dynamics.
    • Existing methods for displacement reconstruction can be complex.

    Purpose of the Study:

    • To propose a simplified and accurate vibration measurement method using SMI laser signals.
    • To enhance the extraction of vibration information from SMI signals.
    • To achieve high-precision microvibration measurements.

    Main Methods:

    • Developing a reverse point recognition algorithm for SMI signals.
    • Analyzing hill and valley values of the SMI signal to identify reverse points.

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  • Employing the semifringe counting method in conjunction with reverse point recognition.

    • Main Results:

    • Accurate extraction of vibration information from external objects.
    • Simplified displacement reconstruction process.
    • High-precision microvibration measurements with an absolute error below 19 nm.

    Conclusions:

    • The proposed reverse point recognition algorithm offers a simplified and accurate approach to vibration measurement using SMI.
    • This method demonstrates significant potential for high-precision microvibration analysis.
    • The technique is validated through both simulation and experimental results.