Nonlinear Transistor Model Parameter Extraction Techniques

Matthias Rudolph is the Ulrich-L.-Rohde Professor for RF and Microwave Techniques at Brandenburg University of Technology, Cottbus, Germany. Prior to this, he worked at the Ferdinand-Braun-Institut, Leibniz Institut für Höchstfrequenztechnik (FBH), Berlin, where he was responsible for modeling of GaN HEMTs and GaAs HBTs and heading the low-noise components group. Christian Fager is an Associate Professor at Chalmers University of Technology, Sweden, where he leads a research group focusing on energy efficient transmitters and power amplifiers for future wireless applications. In 2002 he received the Best Student Paper Award at the IEEE International Microwave Symposium for his research on uncertainties in transistor small signal models. David E. Root is Agilent Research Fellow and Measurement and Modeling Sciences Architect at Agilent Technologies, Inc., where he works on nonlinear device and behavioral modeling, large-signal simulation, and nonlinear measurements for new technical capabilities and business opportunities. He is a Fellow of the IEEE and in 2007 he received the 2007 IEEE ARFTG Technology Award.

'Modeling is at the heart of any modern design process and improvements in transistor modeling have made a significant, but often unrecognized, contribution to the wireless revolution impacting our daily lives. The authors and contributors have collaborated across academic and company boundaries to bring together the latest techniques in a comprehensive and practical review of transistor modeling. This book is destined to become the 'go to' reference on the subject.' Mark Pierpoint, Agilent Technologies

• 1. Introduction M. Rudolph; 2. DC and thermal modeling: III-V FETs and HBTs M. Iwamoto, J. Xu and D. E. Root; 3. Extrinsic parameter and parasitic elements in III-V HBT and HEMT modeling S. R. Nedeljkovic, W. J. Clausen, F. Kharabi, J. R. F. McMacken and J. M. Gering; 4. Uncertainties in small-signal equivalent circuit modeling C. Fager, K. Andersson and M. Ferndahl; 5. The large-signal model: theoretical foundations, practical considerations, and recent trends D. E. Root, J. Horn, J. Xu and M. Iwamoto; 6. Large and packaged transistors J. Engelmann, F.-J. Schmückle and M. Rudolph; 7. Characterization and modeling of dispersive effects O. Jardel, R. Sommet, J.-P. Teyssier and R. Quéré; 8. Optimizing microwave measurements for model construction and validation D. Schreurs, M. Myslinski and G. Crupi; 9. Practical statistical simulation for efficient circuit design P. Zampardi, Y. Yang, J. Hu, B. Li, M. Fredriksson, K. Kwok and H. Shao; 10. Noise modeling M. Berroth.