University of Surrey

Test tubes in the lab Research in the ATI Dance Research

A nonlinear electro-thermal scalable model for high-power RF LDMOS transistors

Wood, J, Aaen, PH, Bridges, D, Lamey, D, Guyonnet, M, Chan, DS and Monsauret, N (2009) A nonlinear electro-thermal scalable model for high-power RF LDMOS transistors IEEE Transactions on Microwave Theory and Techniques, 57 (1). pp. 282-292.

Available under License : See the attached licence file.

Download (959kB)
Text (licence)

Download (33kB)


A new nonlinear charge-conservative scalable dynamic electro-thermal compact model for laterally defused MOS (LDMOS) RF power transistors is described in this paper. The transistor is characterized using pulsed I-V and S-parameter measurements, to ensure isothermal conditions. A new extrinsic network and extrinsic parameter-extraction methodology is developed for high-power RF LDMOS transistor modeling, using manifold deembedding by electromagnetic simulation, and optimization of the extrinsic network parameter values over a broad frequency range. The intrinsic model comprises controlled charge and current sources that have been implemented using artificial neural networks, designed to permit accurate extrapolation of the transistor's performance outside of the measured data domain. A thermal sub-circuit is coupled to the nonlinear model. Large-signal validation of this new model shows a very good agreement with measurements at 2.14 GHz. © 2008 IEEE.

Item Type: Article
Divisions : Faculty of Engineering and Physical Sciences > Electronic Engineering > Advanced Technology Institute
Authors :
Wood, J
Aaen, PH
Bridges, D
Lamey, D
Guyonnet, M
Chan, DS
Monsauret, N
Date : January 2009
DOI : 10.1109/TMTT.2008.2011172
Additional Information : © 2009 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Depositing User : Symplectic Elements
Date Deposited : 26 Sep 2013 13:56
Last Modified : 31 Oct 2017 15:15

Actions (login required)

View Item View Item


Downloads per month over past year

Information about this web site

© The University of Surrey, Guildford, Surrey, GU2 7XH, United Kingdom.
+44 (0)1483 300800