Liu Jiao, Yan Liping, Li Bin, et al. Artificial neural network modeling of component nonlinear behavior and application in conducted interference analysis[J]. High Power Laser and Particle Beams, 2015, 27: 103212. doi: 10.11884/HPLPB201527.103212
Citation: Liu Jiao, Yan Liping, Li Bin, et al. Artificial neural network modeling of component nonlinear behavior and application in conducted interference analysis[J]. High Power Laser and Particle Beams, 2015, 27: 103212. doi: 10.11884/HPLPB201527.103212

Artificial neural network modeling of component nonlinear behavior and application in conducted interference analysis

doi: 10.11884/HPLPB201527.103212
  • Received Date: 2015-08-04
  • Rev Recd Date: 2015-09-09
  • Publish Date: 2015-10-13
  • A method for determining nonlinear large-signal S-parameters from artificial neural network model trained with limited measured data is proposed. Predicted nonlinear S-parameters of a nonlinear device composed of a Schottky diode are in good agreements with measurements. Then the formula for calculating nonlinear S-parameters of network composed of a two-port nonlinear device cascaded with a three-port linear device is deduced, and the application of nonlinear S-parameters in conducted interference analysis is discussed. Finally, the applicability of the proposed method for conducted interference analysis involving nonlinear components is demonstrated by two different cascaded networks.
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      沈阳化工大学材料科学与工程学院 沈阳 110142

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