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Smart interpolator for a fiber-optic pressure sensor.

C Sun, J Lin

    Applied Optics
    |July 20, 1997
    PubMed
    Summary
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    A novel smart interpolator enhances fiber-optic pressure sensor stability by decomposing compensation models. This self-calibration method effectively cancels long-term drift, as proven by experiments.

    Area of Science:

    • Optoelectronics
    • Sensor Technology
    • Signal Processing

    Background:

    • Fiber-optic sensors offer advantages in harsh environments.
    • Long-term drift is a critical challenge affecting sensor accuracy and reliability.
    • Existing compensation methods may not fully address drift over extended periods.

    Purpose of the Study:

    • To introduce a smart interpolator for improving fiber-optic pressure sensor long-term stability.
    • To develop a self-calibration technique for mitigating sensor drift.
    • To validate the effectiveness of the proposed interpolator through experimental analysis.

    Main Methods:

    • A smart interpolator algorithm is proposed.
    • The compensation model is decomposed into signal and reference channel parameters.

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  • Experimental validation is conducted to assess performance.

    • Main Results:

    • The smart interpolator effectively improves the long-term stability of the fiber-optic pressure sensor.
    • The method enables self-calibration of the sensor.
    • Long-term drift is successfully cancelled, demonstrating the interpolator's efficacy.

    Conclusions:

    • The proposed smart interpolator is a viable solution for enhancing the stability of fiber-optic pressure sensors.
    • The decomposition approach facilitates effective self-calibration and drift cancellation.
    • Experimental results confirm the practical applicability and effectiveness of the method.