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Adaptive high-precision demodulation method based on vector matching and cluster-competitive particle swarm

Kun Yao, Qijing Lin, Zhuangde Jiang

    Optics Express
    |July 16, 2021
    PubMed
    Summary

    This study introduces an adaptive demodulation method for multiplexed fiber optic Fabry-Perot interferometer (FPI) sensors. The novel approach significantly reduces required cavity length differences, improving measurement accuracy.

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    Area of Science:

    • Optoelectronics
    • Sensor Technology
    • Signal Processing

    Background:

    • Multiplexed fiber optic Fabry-Perot interferometer (FPI) sensors offer precision and simplicity.
    • Existing demodulation techniques limit accuracy and require large cavity length differences.

    Purpose of the Study:

    • To develop an adaptive, high-precision demodulation method for multiplexed FPI sensors.
    • To overcome limitations of current methods and reduce necessary cavity length differences.

    Main Methods:

    • Proposed an adaptive demodulation method utilizing vector matching and cluster-competitive particle swarm optimization (CCPSO).
    • Transformed cavity length demodulation into a global extreme search problem.
    • CCPSO employs simultaneous intra-cluster agglomeration and inter-cluster competition for enhanced search capabilities.

    Main Results:

    • Reduced the lower limit of cavity length difference to 22 μm, a 76.9% improvement over FFT-based methods.
    • Achieved a measurement accuracy of 1.05 nm with a 27.5 μm cavity length difference.
    • Demonstrated high performance even with a signal-to-noise ratio of 36.0 dB.

    Conclusions:

    • The proposed CCPSO-based demodulation method significantly enhances the performance of multiplexed FPI sensors.
    • This advancement allows for more accurate measurements with reduced cavity length requirements.
    • The method offers a substantial improvement for fiber optic sensing applications.