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Fundamentals of Nonlinear Behavioral Modeling for RF and Microwave Design

Fundamentals of Nonlinear Behavioral Modeling for RF and Microwave Design

By (author)s: David E. Root, John Wood
Copyright: 2005
Pages: 238
ISBN: 9781580537759

Print Book $99.00 Qty:
A revised collection of groundbreaking presentations made at a recent IMS (International Microwave Symposium) workshop, this cutting-edge resource provides a comprehensive treatment of nonlinear behavioral modeling for RF and microwave circuits and systems from renowned experts in the field. Presenting state-of-the-art RF and microwave applications, this practical book gives you hands-on techniques that you can use immediately on your current projects. The book helps you create nonlinear behavioral models in the frequency and time domain, as well as in the envelope domain for wireless applications. You learn how to make large-signal microwave measurements for nonlinear model extraction and gain a thorough understanding of the use of neural networks in nonlinear behavioral model generation. Moreover, this unique reference explains the physical mechanisms responsible for dynamic nonlinear effects in microwave ICs, such as memory in power amplifiers. Other key topics discussed in detail include Volterra analysis, scattering functions, envelope models, and the application of neural networks.
Introduction to Fundamentals of Nonlinear Behavioral Modeling for RF and Microwave Design -Introduction. Book Origins, Contents and Objectives. ; Volterra Methods for Behavioral Modeling -Introduction. A Review of Some Linear systems Concepts. Some Nonlinear Systems Concepts. Volterra Series. Some Applications. Conclusions.; Envelope Domain Methods for Behavioral Modeling -Introduction. Band-Pass and Complex-Envelope Domain Model Formalism. Envelope-Domain Model Constitutive Equation. Modeling Memory Effects in Nonlinear Blocs. Memory Effects in Integrated RF & Microwave Circuits. Complex-Envelope Domain Volterra Series Analysis. Complex-Envelope Domain Modified Volterra Series Analysis. First-Order Modified Volterra Series (FMVM). Single Kernel Modified Volterra Model. Nonlinear Complex-Envelope Impulse Response Model (NCIRM). Conclusions.; Mixed Time and Frequency Domain Behavioral Modeling and Simulation -Introduction. Envelope System Simulation vs. RF Circuit Simulation. Mixed-Mode Simulation Techniques. Mixed-Mode Simulation Example. Conclusions.; Neural Networks for Behavioral Modeling -Introduction. Basic Concept of Microwave Neural Modeling. Neural-Based Dynamic Behavioral Modeling of Nonlinear Circuits. Behavioral Modeling Based on Recurrent Neural Networks (RNN). Behavioral Modeling Based on Dynamic Neural Networks (DNN). DNN Modeling Examples. Conclusions.; Behavioral Modeling from the Perspective of Nonlinear Dynamics -Introduction. Nonlinear Dynamics. Behavioral Modeling Methodology. NLTSA Behavioral Modeling Procedure. Behavioral Model of a Microwave Amplifier IC. Conclusions.; About the Authors. Index.;
  • David E. Root David E. Root is principal research scientist at the Worldwide Process and Technology Centers of Agilent Technologies. He holds B.S. degrees in physics and mathematics, and a Ph.D. in theoretical physics, all from MIT. He is a fellow of the IEEE.
  • John Wood John Wood is senior principal member of technical staff in the RF Solutions Division at Maxim Integrated, Inc., San Jose, CA. He earned his Ph.D. in electrical and electronic engineering from the University of Leeds, U.K..
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