Study On Optical Communications, Volume. 50, Issue 4, 23003201(2024)

Baseline Correction Method of FBG Sensor Network Spectrum based on the Improved LSTM Model

Ying HAN1, Xu ZHANG3、*, Mingxin YU1, and Wei ZHUANG2
Author Affiliations
  • 1Key Laboratory of the Ministry of Education for Optoelectronic Measurement Technology and Instrument, Beijing Information Science & Technology University, Beijing 100192, China
  • 2Beijing Laboratory of Optical Fiber Sensing and System, Beijing Information Science & Technology University, Beijing 100016, China
  • 3Tianjin University, Tianjin 300072, China
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    Figures & Tables(12)
    Structural diagram of standard LSTM model block
    Structural diagram of 1D-CNN
    Improved structure diagram of LSTM network
    Structural diagram of the FBG demodulation system
    Simulate spectrograms
    Spectra of anomalies caused by the face reflections at the fiber end
    Graph of training results of different baselines to adjust models
    Corrected result plot with baseline spectra
    Comparison chart of the results under different correction methods
    • Table 1. Segmentation of experimental datasets

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      Table 1. Segmentation of experimental datasets

      数据集训练集验证集测试集
      仿真数据集3 200 000400 000400 000
      实验数据集17 2802 1602 160
    • Table 2. Sensing signal survival after correcting for baseline

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      Table 2. Sensing signal survival after correcting for baseline

      基线校正方法基线校正后传感信号存活率(%)
      改进LSTM法97.2
      LSTM法91.3
      RNN法84.7
      惩罚最小二乘法78.4
      小波软阈值法76.8
    • Table 3. Comparison results with different baseline correction methods

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      Table 3. Comparison results with different baseline correction methods

      基线校正方法RMSE均值标准差校正时间/ms
      改进LSTM法0.012 20.002 49.68
      LSTM法0.015 50.002 912.37
      RNN法0.020 80.003 110.24
      惩罚最小二乘法0.023 60.003 65.91
      小波软阈值法0.029 80.004 85.83
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    Ying HAN, Xu ZHANG, Mingxin YU, Wei ZHUANG. Baseline Correction Method of FBG Sensor Network Spectrum based on the Improved LSTM Model[J]. Study On Optical Communications, 2024, 50(4): 23003201

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    Paper Information

    Category: Research Articles

    Received: May. 1, 2023

    Accepted: --

    Published Online: Aug. 15, 2024

    The Author Email: Xu ZHANG (zhangxubistu@outlook.com)

    DOI:10.13756/j.gtxyj.2024.230032

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