A Neural Network Approach for Nonlinear Modelling of LDMOSFETs

被引：0

作者：

Marinkovic, Zlatica ^{[1
]}

Crupi, Giovanni ^{[2
]}

Raffo, Antonio ^{[3
]}

Bosi, Gianni ^{[3
]}

Avolio, Gustavo ^{[4
]}

Markovic, Vera ^{[1
]}

Caddemi, Alina ^{[2
]}

Vannini, Giorgio ^{[3
]}

Schreurs, Dominique M. M-P. ^{[4
]}

机构：

[1] Univ Nis, Fac Elect Engn, Nish 18000, Serbia

[2] Univ Messina, DICIEAMA, I-98166 Messina, Italy

[3] Univ Ferrara, Dept Engn, I-44122 Ferrara, Italy

[4] Katholieke Univ Leuven, Dept Elect Engn, B-3001 Leuven, Belgium

来源：

2014 INTERNATIONAL WORKSHOP ON INTEGRATED NONLINEAR MICROWAVE AND MILLIMETRE-WAVE CIRCUITS (INMMIC) | 2014年

关键词：

artificial neural network (ANN); high-power transistor; laterally diffused MOS (LDMOS); nonlinear measurements; nonlinear modelling; SMALL-SIGNAL;

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：

In this paper an artificial neural network approach for nonlinear modelling of a 10-W LDMOSFET is presented. The model extraction is based on DC and scattering parameter measurements. In particular, artificial neural networks are used to model the dependence of both DC drain current and intrinsic capacitances with respect to the intrinsic gate and drain voltages. The model validation is successfully achieved by comparing the simulation results with time-domain nonlinear measurements.

引用

页数：3

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