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Updated: Jul 12, 2025

Automation of Mode Locking in a Nonlinear Polarization Rotation Fiber Laser through Output Polarization Measurements
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High-precision rotation angle measurement method based on polarization self-mixing interference.

Yan Zhao, Chuanwu Zha, Bin Liu

    Applied Optics
    |October 19, 2023
    PubMed
    Summary

    This study introduces a high-precision rotation angle measurement technique using polarization self-mixing interference (SMI). The method achieves accurate measurements within ±0.5% error over a 20° range by enhancing signal quality and employing fringe subdivision.

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    Area of Science:

    • Optics and Photonics
    • Metrology
    • Precision Engineering

    Background:

    • Accurate rotation angle measurement is crucial in various scientific and industrial applications.
    • Traditional methods face limitations in precision and susceptibility to environmental factors.
    • Polarization self-mixing interference (SMI) offers a promising approach for high-resolution sensing.

    Purpose of the Study:

    • To develop a high-precision rotation angle measurement method utilizing polarization SMI.
    • To enhance the signal-to-noise ratio and mitigate speckle effects in SMI signals.
    • To improve the accuracy and measurement range of rotation angle detection.

    Main Methods:

    • Differential processing of two phase-opposed polarized SMI signals to improve signal-to-noise ratio.
    • Envelope signal normalization to reduce speckle effect influence.
    • Fringe subdivision technique for enhanced rotation angle measurement accuracy.

    Main Results:

    • Achieved a high signal-to-noise ratio SMI signal through differential processing.
    • Successfully reduced speckle influence using envelope signal normalization.
    • Demonstrated a rotation angle measurement error within ±0.5%.
    • Verified a measurement range of up to 20°.

    Conclusions:

    • The proposed polarization SMI method provides a robust and accurate solution for rotation angle measurement.
    • The combination of differential processing, normalization, and fringe subdivision significantly enhances measurement precision.
    • This technique holds potential for applications demanding high-accuracy angular sensing.