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Real-time dynamic absolute ranging with frequency scanning interferometry using a robust Monte-Carlo-based particle

Zhongwen Deng, Zhigang Liu, Xingyu Jia

    Applied Optics
    |September 11, 2019
    PubMed
    Summary

    This study introduces a robust particle filter for frequency-scanning interferometry, enabling accurate dynamic long absolute ranging. The system achieves high precision for tracking moving objects at extended distances.

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    Area of Science:

    • Optics and Photonics
    • Metrology
    • Signal Processing

    Background:

    • Frequency-scanning interferometry (FSI) is crucial for absolute distance measurement.
    • Dynamic object tracking in FSI systems faces challenges due to non-linearities and non-Gaussian noise.
    • Existing methods often lack robustness for long-range, dynamic applications.

    Purpose of the Study:

    • To develop and validate a particle-filter-based data processing method for FSI systems.
    • To enhance the robustness and accuracy of dynamic long absolute ranging.
    • To enable precise tracking of objects at extended standoff distances.

    Main Methods:

    • Implementation of a particle filter for data processing in an FSI system.
    • Experimental setup for dynamic ranging measurements.
    • Evaluation of system performance with quasi-static and vibrating targets.

    Main Results:

    • Achieved a standard deviation below 6 μm for quasi-static targets.
    • Demonstrated superior tracking of vibrating targets (amplitude > 10 μm, frequencies 1-5 Hz) at a 15 m standoff distance.
    • The particle filter approach proved effective despite non-linearities and non-Gaussian noise.

    Conclusions:

    • Particle-filter-based FSI offers high robustness and accuracy for dynamic long absolute ranging.
    • The proposed system overcomes limitations of traditional linear and Gaussian noise assumptions.
    • This method significantly advances capabilities in precise dynamic metrology at long distances.