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This book is a summary of a series of achievements made by the authors and colleagues in the areas of radio frequency power amplifier modeling (including neural Volterra series modeling, neural network modeling, X-parameter modeling), nonlinear analysis methods, and power amplifier predistortion technology over the past 10 years.
The book is organized into ten chapters, which respectively describe an overview of research of power amplifier behavioral models and predistortion technology, nonlinear characteristics of power amplifiers, power amplifier behavioral models and the basis of nonlinear analysis, an overview of power amplifier predistortion, Volterra series modeling of power amplifiers, power amplifier modeling based on neural networks, power amplifier modeling with X-parameters, the modeling of other power amplifiers, nonlinear circuit analysis methods, and predistortion algorithms and applications.
Blending theory with analysis, this book will provide researchers and RF/microwave engineering students with a valuable resource.
Table des matières
1. Overview of Research Status 2. Nonlinear Characteristics of Power Amplifier 3. Power Amplifier Behavioral Model and Nonlinear Analysis Basis 4. Overview of Power Amplifier Predistortion 5. Volterra Series Modeling for Power Amplifier 6. Power Amplifier Modeling Based on Neural Network 7. Power Amplifier Modeling with X-Parameters 8. Other Power Amplifier Modeling 9. Nonlinear Circuit Analysis Methods 10. Predistortion Algorithms and Applications
A propos de l'auteur
Jingchang Nan is Professor and doctoral supervisor at Liaoning Technical University. He is also a senior visiting scholar at the University of Michigan. His research interests include RF circuit and systems, communication signal processing and electromagnetic and information processing.
Mingming Gao is Associate Professor and the Vice President of the School of Electronic and Information Engineering, Liaoning Technical University. Her research interests focus on communication engineering, intelligent RF technology, RF circuits and systems, electromagnetic compatibility, linearization technology of power amplifiers and artificial intelligence among other topics.
Résumé
This book is a summary of a series of achievements made by the authors and colleagues in the areas of radio frequency power amplifier modeling (including neural Volterra series modeling, neural network modeling, X-parameter modeling), nonlinear analysis methods, and power amplifier predistortion technology over the past 10 years.
