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An Enhanced Dynamic Neuro-Space Mapping Technique for Nonlinear Device Modeling

  • Lin Zhu
  • Jian Zhao
  • Wenyuan Liu
  • Lei Pan
  • Deliang Liu
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 463)

Abstract

Accurate modeling of nonlinear microwave devices is critical for reliable design of microwave circuit and system. In this paper, a more general Neuro-SM method, i.e., an enhanced dynamic neuro-space mapping (Neuro-SM) is proposed to fulfill the needs of the increased modeling complexity. The proposed technique retains the ability of the existing dynamic Neuro-SM in modifying the dynamic voltage relationship between the coarse model and the desired model. The proposed Neuro-SM also considers output/current mapping besides input/voltage mappings. In this way, the enhanced dynamic Neuro-SM can produce a more accurate model of microwave devices with more dynamics and nonlinearity. The validity and efficiency of the enhanced dynamic Neuro-SM method are demonstrated through a high-electron mobility transistor (HEMT) modeling example.

Keywords

Artificial network Space mapping Neuro-SM Nonlinear device modeling 

Notes

Acknowledgments

This work is supported by the Key project of Tianjin Natural Science Foundation (No. 16JCZDJC38600).

References

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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  • Lin Zhu
    • 1
  • Jian Zhao
    • 1
  • Wenyuan Liu
    • 2
  • Lei Pan
    • 1
  • Deliang Liu
    • 3
  1. 1.Tianjin Chengjian UniversityTianjinChina
  2. 2.Tianjin UniversityTianjinChina
  3. 3.Shijiazhuang Mechanical Engineering CollegeShijiazhuangChina

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