Bias-dependent small-signal modeling based on neuro-space mapping for MOSFET

In this article, bias-dependent small-signal modeling approach based on neuro-space mapping is proposed for MOSFET. Good agreement is obtained between the simulated and measured results for a 130 nm MOSFET in the frequency range of 100 MHz–40 GHz confirming the validity and effectiveness of our approach. In addition, higher accuracy is achieved by our approach in contrast to conventional empirical model. © 2011 Wiley Periodicals, Inc. Int J RF and Microwave CAE, 2011. © 2011 Wiley Periodicals, Inc.

[1]  A. Werthof,et al.  Scalable Small-Signal and Noise Modeling for Deep-Submicrometer MOSFETs , 2009, IEEE Transactions on Microwave Theory and Techniques.

[2]  M.C.E. Yagoub,et al.  Advanced microwave modeling framework exploiting automatic model generation, knowledge neural networks and space mapping , 2002, 2002 IEEE MTT-S International Microwave Symposium Digest (Cat. No.02CH37278).

[3]  J.W. Bandler,et al.  Space mapping: the state of the art , 2004, IEEE Transactions on Microwave Theory and Techniques.

[4]  N. Camilleri,et al.  Extracting small-signal model parameters of silicon MOSFET transistors , 1994, 1994 IEEE MTT-S International Microwave Symposium Digest (Cat. No.94CH3389-4).

[5]  R. Torres-Torres,et al.  Straightforward determination of small-signal model parameters for bulk RF-MOSFETs , 2004, Proceedings of the Fifth IEEE International Caracas Conference on Devices, Circuits and Systems, 2004..

[6]  Kow-Ming Chang,et al.  A new small-signal MOSFET model and parameter extraction method for RF IC's application , 2004, Microelectron. J..

[7]  John W. Bandler,et al.  Neuromodeling of microwave circuits exploiting space mapping technology , 1999, IMS 1999.

[8]  M.C.E. Yagoub,et al.  Efficient analytical formulation and sensitivity analysis of neuro-space mapping for nonlinear microwave device modeling , 2005, IEEE Transactions on Microwave Theory and Techniques.

[9]  H. Zirath,et al.  A new empirical nonlinear model for HEMT and MESFET devices , 1992 .

[10]  M.J. Deen,et al.  MOSFET modeling for RF IC design , 2005, IEEE Transactions on Electron Devices.

[11]  Qi-Jun Zhang,et al.  Artificial neural networks for RF and microwave design - from theory to practice , 2003 .

[12]  Yi-Jen Chan,et al.  Characteristics of deep-submicrometer MOSFET and its empirical nonlinear RF model , 1998 .

[13]  A. Werthof,et al.  Direct parameter extraction method for deep submicrometer metal oxide semiconductor field effect transistor small signal equivalent circuit , 2009 .

[14]  Slawomir Koziel,et al.  Progress in Simulator-Based Tuning—The Art of Tuning Space Mapping [Application Notes] , 2010, IEEE Microwave Magazine.

[15]  S. Koziel,et al.  A Space-Mapping Framework for Engineering Optimization—Theory and Implementation , 2006, IEEE Transactions on Microwave Theory and Techniques.