Acta Photonica Sinica, Volume. 53, Issue 9, 0906003(2024)

Research on High-precision Extraction Method of Intrinsic Signal in Optical Current Sensing with Debouncing Kalman Filter

Yilun LIU, Penghua XUAN*, Yansong LI, Yuanchang RAN, and Qiwei WANG
Author Affiliations
  • School of Electrical and Electronic Engineering,North China Electric Power University,Beijing 102206,China
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    Figures & Tables(15)
    Optical path structure
    Time domain plot of noise
    tanh function
    Time domain plot of the intrinsic signal with added noise
    Filtered result using the standard Kalman filter algorithm
    Relative error after filtering using the standard Kalman filter algorithm
    Filtering results using the DBK filter algorithm
    Relative error of amplitude after filtering using the DBK filter algorithm
    Comparison of filtering results between the original and improved Kalman filter algorithms
    Calculation result of noise covariance
    LabVIEW FPGA programming flow
    DBK intrinsic component filtering algorithm module
    Optical sensor experimental platform
    Filtered intrinsic component
    • Table 1. Comparison of relative errors after convergence of different filtering algorithms

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      Table 1. Comparison of relative errors after convergence of different filtering algorithms

      Filter algorithmMaximum relative error
      Standard Kalman11%
      DBK2%
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    Yilun LIU, Penghua XUAN, Yansong LI, Yuanchang RAN, Qiwei WANG. Research on High-precision Extraction Method of Intrinsic Signal in Optical Current Sensing with Debouncing Kalman Filter[J]. Acta Photonica Sinica, 2024, 53(9): 0906003

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    Paper Information

    Category: Fiber Optics and Optical Communications

    Received: Jan. 29, 2024

    Accepted: Apr. 30, 2024

    Published Online: Nov. 13, 2024

    The Author Email: Penghua XUAN (2216914235@qq.com)

    DOI:10.3788/gzxb20245309.0906003

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