Infrared and Laser Engineering, Volume. 51, Issue 5, 20210419(2022)

Demodulation method of overlapping spectrum based on convolutional neural network

Hanlin Liu1...2, Jingtao Xin1,2, Wei Zhuang1,2,*, Jiabin Xia3, and Lianqing Zhu12 |Show fewer author(s)
Author Affiliations
  • 1Key Laboratory of the Ministry of Education for Optoelectronic Measurement Technology and Instrument, Beijing University of Information Technology, Beijing 100192, China
  • 2Beijing Laboratory of Optical Fiber Sensing and Systems, Beijing Information Science & Technology University, Beijing 100016, China
  • 3School of Instrument Science and Opto-electronics Engineering, Hefei University of Technology, Hefei 230009, China
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    Figures & Tables(9)
    Schematic diagram of the aliasing spectrum data acquisition system
    Program block diagram of the upper computer of the aliasing spectrum data acquisition
    Overlap process of the spectrum in the display interface of the host computer
    Schematic diagram of 1D convolutional neural network structure
    CNN training time and test time under different training samples
    RMS and MAE error under different epoch times
    Spectral demodulation results under different degrees of aliasing
    • Table 1. Comparison between different algorithms

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      Table 1. Comparison between different algorithms

      AlgorithmRMS/pmComputational time/sData source
      ELM0.9180.200Ref.[8]
      LS-SVR3.9550.0736Ref.[7]
      PSO-SA<5.000--Ref.[10]
      LSTM0.6740.574Ref.[8]
      CNN0.08260.338This work
    • Table 2. Demodulation results with different degrees of aliasing

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      Table 2. Demodulation results with different degrees of aliasing

      CaseFBG1/nmFBG2/nmΔλ/nm RMS/pm
      a1536.84881536.15140.69740.0322
      b1537.15591536.15211.00380.0319
      c1535.75271536.1434−0.39070.0148
      d1536.13171536.1549−0.02320.0301
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    Hanlin Liu, Jingtao Xin, Wei Zhuang, Jiabin Xia, Lianqing Zhu. Demodulation method of overlapping spectrum based on convolutional neural network[J]. Infrared and Laser Engineering, 2022, 51(5): 20210419

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    Paper Information

    Category: Optical communication and sensing

    Received: Dec. 25, 2021

    Accepted: --

    Published Online: Jun. 14, 2022

    The Author Email: Zhuang Wei (zhuangwei@bistu.edu.cn)

    DOI:10.3788/IRLA20210419

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