• Acta Photonica Sinica
  • Vol. 50, Issue 9, 0906003 (2021)
Houdan YU, Qiushi MI, Dong ZHAO, and Qian XIAO*
Author Affiliations
  • Optical Fiber Research Center, Department of Material Science, Fudan University, Shanghai200433, China
  • show less
    DOI: 10.3788/gzxb20215009.0906003 Cite this Article
    Houdan YU, Qiushi MI, Dong ZHAO, Qian XIAO. Optical Fiber Perimeter Intrusion Pattern Recognition Based on 1D-CNN[J]. Acta Photonica Sinica, 2021, 50(9): 0906003 Copy Citation Text show less
    Schematic diagram of line-based Sagnac interference structure
    Fig. 1. Schematic diagram of line-based Sagnac interference structure
    The intervention signal
    Fig. 2. The intervention signal
    Structure of convolution neural network
    Fig. 3. Structure of convolution neural network
    Schematic diagram of the experiment system
    Fig. 4. Schematic diagram of the experiment system
    Six types of demodulated signal and their power spectrum
    Fig. 5. Six types of demodulated signal and their power spectrum
    Six kernels after training
    Fig. 6. Six kernels after training
    Mel filters
    Fig. 7. Mel filters
    Features extracted by MFCC method
    Fig. 8. Features extracted by MFCC method
    Cutting signal after convolution
    Fig. 9. Cutting signal after convolution
    Branch tapping signal after convolution
    Fig. 10. Branch tapping signal after convolution
    Cutting features after batch normalized
    Fig. 11. Cutting features after batch normalized
    Branch tapping features after batch normalized
    Fig. 12. Branch tapping features after batch normalized
    Type of signalCorrect classificationNumber in test setRecognition rate of 1D-CNNRecognition rate of MFCC
    Walking45346098.48%97.39%
    Branch tapping54958094.66%81.03%
    Knocking62866095.15%91.21%
    Cutting55356098.75%96.79%
    Waggling50252096.54%89.04%
    Wind blowing36338095.52%97.37%
    Total3 0483 16096.46%91.61%
    Table 1. Recognition result in the test set by 1D-CNN
    Houdan YU, Qiushi MI, Dong ZHAO, Qian XIAO. Optical Fiber Perimeter Intrusion Pattern Recognition Based on 1D-CNN[J]. Acta Photonica Sinica, 2021, 50(9): 0906003
    Download Citation