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

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Communications, Signal Processing, and Systems (CSPS 2017)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 463))

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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.

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References

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Acknowledgments

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

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Authors and Affiliations

  1. Tianjin Chengjian University, Tianjin, China

    Lin Zhu, Jian Zhao & Lei Pan

  2. Tianjin University, Tianjin, China

    Wenyuan Liu

  3. Shijiazhuang Mechanical Engineering College, Shijiazhuang, China

    Deliang Liu

Authors
  1. Lin Zhu
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  2. Jian Zhao
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  3. Wenyuan Liu
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  4. Lei Pan
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  5. Deliang Liu
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Corresponding author

Correspondence to Lei Pan .

Editor information

Editors and Affiliations

  1. Department of Electrical Engineering, University of Texas at Arlington, Arlington, Texas, USA

    Qilian Liang

  2. College of Electronic and Communication Engineering, Tianjin Normal University, Tianjin, China

    Jiasong Mu

  3. Harbin Institute of Technology, Harbin, Heilongjiang, China

    Min Jia

  4. College of Electronic and Communication Engineering, Tianjin Normal University, Tianjin, China

    Wei Wang

  5. College of Electronic and Communication Engineering, Tianjin Normal University, Tianjin, China

    Xuhong Feng

  6. College of Electronic and Communication Engineering, Tianjin Normal University, Tianjin, China

    Baoju Zhang

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© 2019 Springer Nature Singapore Pte Ltd.

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Zhu, L., Zhao, J., Liu, W., Pan, L., Liu, D. (2019). An Enhanced Dynamic Neuro-Space Mapping Technique for Nonlinear Device Modeling. In: Liang, Q., Mu, J., Jia, M., Wang, W., Feng, X., Zhang, B. (eds) Communications, Signal Processing, and Systems. CSPS 2017. Lecture Notes in Electrical Engineering, vol 463. Springer, Singapore. https://doi.org/10.1007/978-981-10-6571-2_58

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  • DOI: https://doi.org/10.1007/978-981-10-6571-2_58

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-6570-5

  • Online ISBN: 978-981-10-6571-2

  • eBook Packages: EngineeringEngineering (R0)

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