A Novel Model for pHEMTs with Accurate High-Order Derivatives

被引：0

作者：

Zhu, Yuan-Yuan ^{[1
]}

Fu, Hai-Peng ^{[1
]}

Zhang, Qi-Jun ^{[2
]}

Ma, Jian-Guo ^{[1
]}

机构：

[1] Tianjin Univ, Sch Elect Informat Engn, Tianjin 300072, Peoples R China

[2] Carleton Univ, Dept Elect, Ottawa, ON K1S 5B6, Canada

来源：

2016 IEEE MTT-S INTERNATIONAL CONFERENCE ON NUMERICAL ELECTROMAGNETIC AND MULTIPHYSICS MODELING AND OPTIMIZATION (NEMO) | 2016年

关键词：

Nonlinear modeling; high-order derivative; pHEMT modeling; piecewise method; artificial neural network;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

A novel piecewise model for pHEMTs with accurate I-ds and its first three derivatives (g(m), g(m2) and g(m3)) is presented. The entire operating region is divided into several subregions. Aiming at improving the model accuracy in each subregion, the conventional Angelov models are developed with different optimized parameters. To solve the problem of the discontinuity between adjacent subregions, the artificial neural network (ANN) technique is utilized. The validity of the proposed model is demonstrated by the comparison of measured and modeled results for a pHEMT.

引用

页数：3

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