Volume 37 Issue 1
Dec.  2025
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Lü Donghui, Cheng Jie, Li Rui, et al. A nano-second pulse waveform reconstruction method based on neural network[J]. High Power Laser and Particle Beams, 2025, 37: 013002. doi: 10.11884/HPLPB202537.240342
Citation: Lü Donghui, Cheng Jie, Li Rui, et al. A nano-second pulse waveform reconstruction method based on neural network[J]. High Power Laser and Particle Beams, 2025, 37: 013002. doi: 10.11884/HPLPB202537.240342

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

doi: 10.11884/HPLPB202537.240342
  • Received Date: 2024-09-24
  • Accepted Date: 2024-11-27
  • Rev Recd Date: 2024-11-27
  • Available Online: 2024-12-11
  • Publish Date: 2025-12-13
  • A new method of waveform reconstruction based on neural network is proposed to solve the problem of nano-second pulse distortion, which is caused by the existence of parasitic parameters and insufficient bandwidth in high-speed digital acquisition channels. The local mapping relationship between the distortion waveform acquired by the high-speed digital acquisition system and the reference waveform obtained from the oscilloscope is identified through single neural networks. Then, the global waveform is reconstructed by a series of neural networks. The experimental results show that the proposed method can obviously alleviate the problems such as the edge delay, overshoot of the distortion waveform, thus it can improve the power estimation accuracy by 32.5%, as well as improve the frequency response characteristics of the high-speed digital acquisition system.
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  • [1]
    郭明安, 刘璐, 郭耀军, 等. 一种带输出监测的简单快速高压脉冲源[J]. 现代应用物理, 2022, 13:020204 doi: 10.12061/j.issn.2095-6223.2022.020204

    Guo Ming’an, Liu Lu, Guo Yaojun, et al. A simple and fast high voltage pulse source with output monitoring[J]. Modern Applied Physics, 2022, 13: 020204 doi: 10.12061/j.issn.2095-6223.2022.020204
    [2]
    崔光曦, 李俊娜, 陈旭良, 等. 一种基于Marx发生器的纳秒脉冲实验平台[J]. 现代应用物理, 2022, 13:040402 doi: 10.12061/j.issn.2095-6223.2022.040402

    Cui Guangxi, Li Junna, Chen Xuliang, et al. A nanosecond pulse experimental platform based on Marx generator[J]. Modern Applied Physics, 2022, 13: 040402 doi: 10.12061/j.issn.2095-6223.2022.040402
    [3]
    夏文锋, 张冬晓, 刘启晨, 等. 一种新型高功率轻小型化脉冲驱动源研制[J]. 现代应用物理, 2023, 14:030506

    Xia Wenfeng, Zhang Dongxiao, Liu Qichen, et al. A novel lightweight and miniaturized high power pulse drive source[J]. Modern Applied Physics, 2023, 14: 030506
    [4]
    曾正中. 实用脉冲功率技术引论[M]. 西安: 陕西科学技术出版社, 2003

    Zeng Zhengzhong. Introduction to practical pulse power technology[M]. Xi’an: Shaanxi Science and Technology Press, 2003
    [5]
    陈炜峰, 胡绍朋, 薛冬. 一种基于双传输线的纳秒脉冲源的研制[J]. 科学技术与工程, 2013, 13(27):7992-7996 doi: 10.3969/j.issn.1671-1815.2013.27.012

    Chen Weifeng, Hu Shaopeng, Xue Dong. The design of the nanoseconds pulse source based on a pair of transmission lines[J]. Science Technology and Engineering, 2013, 13(27): 7992-7996 doi: 10.3969/j.issn.1671-1815.2013.27.012
    [6]
    冯远程, 朱旭东, 元勇, 等. 瞬态过电压波形的滤波、重建与拟合[J]. 高电压技术, 2007, 33(7):44-48,71 doi: 10.3969/j.issn.1003-6520.2007.07.010

    Feng Yuancheng, Zhu Xudong, Yuan Yong, et al. Filtering, rebuilding and curve fitting of overvoltage transient signals[J]. High Voltage Engineering, 2007, 33(7): 44-48,71 doi: 10.3969/j.issn.1003-6520.2007.07.010
    [7]
    韩英杰, 孙广生, 严萍, 等. 纳秒脉冲电压的波形重建[J]. 强激光与粒子束, 2004, 16(4):514-516

    Han Yingjie, Sun Guangsheng, Yan Ping, et al. Waveform reconstruction of nanosecond pulse voltage[J]. High Power Laser and Particle Beams, 2004, 16(4): 514-516
    [8]
    曹景阳, 谢树果, 苏东林. 基于最小相位法重建电磁脉冲时域波形[J]. 电波科学学报, 2011, 26(6):1102-1106

    Cao Jingyang, Xie Shuguo, Su Donglin. Application of minimum phase method in a pulse measurement[J]. Chinese Journal of Radio Science, 2011, 26(6): 1102-1106
    [9]
    付佳斌, 卿燕玲, 卫兵, 等. ns脉冲测量中的波形重建[J]. 强激光与粒子束, 2010, 22(11):2759-2762 doi: 10.3788/HPLPB20102211.2759

    Fu Jiabin, Qing Yanling, Wei Bing, et al. Waveform reconstruction of nanosecond pulse measurement[J]. High Power Laser and Particle Beams, 2010, 22(11): 2759-2762 doi: 10.3788/HPLPB20102211.2759
    [10]
    付佳斌, 卿燕玲, 卫兵, 等. 同轴电缆测量纳秒脉冲信号衰减的数字补偿[J]. 强激光与粒子束, 2011, 23(10):2826-2830 doi: 10.3788/HPLPB20112310.2826

    Fu Jiabin, Qing Yanling, Wei Bing, et al. Numerical compensation for coaxial cable signal degradation[J]. High Power Laser and Particle Beams, 2011, 23(10): 2826-2830 doi: 10.3788/HPLPB20112310.2826
    [11]
    陈翔, 魏明, 王向东, 等. 基于RBF神经网络的静电电位动态测试仪波形重建[J]. 计算机测量与控制, 2010, 18(5):1202-1205

    Chen Xiang, Wei Ming, Wang Xiangdong, et al. Dynamic tester of electrostatic potential waveform reconstruction based on RBF neural network[J]. Computer Measurement & Control, 2010, 18(5): 1202-1205
    [12]
    侯媛彬, 杜京义, 汪梅. 神经网络[M]. 西安: 西安电子科技大学出版社, 2007

    Hou Yuanbin, Du Jingyi, Wang Mei. Neural network[M]. Xi’an: Xidian University Press, 2007
    [13]
    史忠植. 神经网络[M]. 北京: 高等教育出版社, 2009

    Shi Zhongzhi. Neural networks[M]. Beijing: Higher Education Press, 2009
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