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Polarimetric current sensor based on polarization division multiplexing detection.

Shaoyi Xu, Wei Li, Fangfang Xing

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    A novel polarimetric current sensor uses polarization division multiplexing (PDM) detection for enhanced sensitivity. This PDM approach offers improved performance over polarization diversity (PD) detection, especially with phase modulation errors.

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    Area of Science:

    • Optoelectronics
    • Sensor Technology
    • Physics

    Background:

    • Polarimetric sensors are crucial for measuring physical quantities.
    • Existing polarization diversity (PD) detection methods have limitations in sensitivity and phase modulation error tolerance.
    • Developing advanced sensor designs is essential for improved performance.

    Purpose of the Study:

    • To propose and investigate a novel polarimetric current sensor.
    • To utilize polarization division multiplexing (PDM) detection for enhanced performance.
    • To analyze the sensor's sensitivity and suitability in various conditions.

    Main Methods:

    • Design of a novel sensor head with a heat insulation cavity to minimize birefringence.
    • Implementation of polarization division multiplexing (PDM) detection.
    • Comparative analysis of PDM detection against polarization diversity (PD) detection.
    • Investigation of noise and Verdet constant shifting effects on sensor performance.

    Main Results:

    • The proposed PDM detection offers double the sensitivity compared to PD detection.
    • PDM detection demonstrates superior suitability in the presence of phase modulation errors.
    • Noise and Verdet constant shifts are identified as key factors affecting sensor performance with declining source power.

    Conclusions:

    • The novel polarimetric current sensor with PDM detection provides significantly enhanced sensitivity and robustness.
    • PDM detection is a more advantageous approach for polarimetric current sensing, especially in challenging environments.
    • Understanding performance-limiting factors is critical for optimizing sensor applications.