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Online polarization error suppressed optical vector analyzer based on Bayesian optimization.

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    This study introduces an online method to suppress polarization misalignment errors in optical vector analyzers (OVAs). This innovation enhances measurement reliability and efficiency for optical device production.

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    Area of Science:

    • Optics and Photonics
    • Metrology
    • Optical Engineering

    Background:

    • Optical vector analyzers (OVAs) are crucial for measuring optical device characteristics like loss and delay.
    • Polarization misalignment is a significant error source in OVAs, compromising measurement accuracy.
    • Current offline alignment methods are inefficient and reduce measurement reliability.

    Purpose of the Study:

    • To develop and validate an online polarization error suppression method for OVAs.
    • To improve the efficiency and reliability of OVA measurements in optical device production.

    Main Methods:

    • Implementation of an online polarization error suppression technique.
    • Utilizing Bayesian optimization for real-time error correction.
    • Verification of results using a commercial OVA with offline alignment.

    Main Results:

    • The proposed online method effectively suppresses polarization misalignment errors.
    • Measurement results were validated against a standard commercial OVA.
    • The online error suppression method demonstrated high accuracy and reliability.

    Conclusions:

    • The developed online polarization error suppression method significantly enhances OVA performance.
    • This technique offers a more reliable and efficient alternative to conventional offline alignment.
    • The online error-suppressed OVA is suitable for industrial production of optical devices.