High Power Laser and Particle Beams, Volume. 37, Issue 1, 013002(2025)

A nano-second pulse waveform reconstruction method based on neural network

Donghui Lü1,2, Jie Cheng1,2、*, Rui Li1,2, Nan Zhang1,2, and Ligang Zhang1,2
Author Affiliations
  • 1Northwest Institute of Nuclear Technology, Xi’an 710024, China
  • 2Key Laboratory of Advanced Science and Technology on High Power Microwave, Xi’an 710024, China
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    Figures & Tables(10)
    Schematic diagram of nanosecond pulse measurement system
    Typical signal of nanosecond pulse acquisition system
    Training method of waveform reconstruction neural network
    Waveforms of the training dataset
    Comparison of different waveforms of the prediction dataset
    Comparison of power estimation for different waveforms
    Reconstruction of atypical waveforms
    • Table 1. Power estimation error of different waveform

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      Table 1. Power estimation error of different waveform

      waveform typeaverage of power estimation error/MWaverage standard deviation of power estimation error/MW
      high-speed digital acquisition waveform28.2616.77
      reconstructed waveform0.1511.32
    • Table 2. Mean error of power estimation under different signal-to-noise ratio

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      Table 2. Mean error of power estimation under different signal-to-noise ratio

      additional noise standard deviation/Vresidual mean of power estimation/MW
      high-speed digital acquisition waveformreconstructed waveform
      028.260.20
      0.0144.831.14
      0.0286.312.67
      0.03142.074.34
    • Table 3. Standard deviation of power estimation error under different signal-to-noise ratio

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      Table 3. Standard deviation of power estimation error under different signal-to-noise ratio

      additional noise standard deviation/Vstandard deviation of power estimation error/MW
      high-speed digital acquisition waveformreconstructed waveform
      016.7711.77
      0.0123.2014.19
      0.0242.7519.48
      0.0365.5825.34
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    Donghui Lü, Jie Cheng, Rui Li, Nan Zhang, Ligang Zhang. A nano-second pulse waveform reconstruction method based on neural network[J]. High Power Laser and Particle Beams, 2025, 37(1): 013002

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    Paper Information

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    Received: Sep. 24, 2024

    Accepted: Nov. 27, 2024

    Published Online: Feb. 21, 2025

    The Author Email: Jie Cheng (chengjie@nint.ac.cn)

    DOI:10.11884/HPLPB202537.240342

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