Nonlinear Modeling Analysis and Predistortion Algorithm Research of Radio Frequency Power Amplifiers

This book summarizes the authors' and colleagues' achievements in radio frequency power amplifier modeling,nonlinear analysis methods,and power amplifier predistortion technology over the past 10 years. It is organized into ten chapters and provides a valuable resource for researchers and RF/microwave engineering students.

Format: Paperback / softback
Length: 360 pages
Publication date: 24 July 2023
Publisher: Taylor & Francis Ltd

This comprehensive book serves as aummary of a remarkable series of achievements made by the authors and their colleagues in the fields 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. Spanning a decade of groundbreaking research, the book is meticulously organized into ten chapters, each offering a comprehensive overview of specific areas.

Chapter 1 provides a foundational overview of research in power amplifier behavioral models and predistortion technology, highlighting the key principles and advancements that have shaped this field. Chapter 2 delves into the intricate nonlinear characteristics of power amplifiers, exploring their behavior and the underlying mechanisms that govern their performance. Chapter 3 explores the relationship between power amplifier behavioral models and the foundations of nonlinear analysis, providing a deep understanding of the analytical tools and techniques employed in this domain.

Chapter 4 offers a comprehensive overview of power amplifier predistortion, a crucial technique for mitigating distortion and enhancing the efficiency of power amplifiers. Chapter 5 delves into the realm of Volterra series modeling of power amplifiers, employing mathematical models to accurately describe their behavior and performance. Chapter 6 explores power amplifier modeling based on neural networks, leveraging artificial intelligence and machine learning algorithms to achieve accurate and efficient predictions. Chapter 7 explores power amplifier modeling with X-parameters, a technique that leverages experimental data to characterize the behavior of power amplifiers.

Chapter 8 examines the modeling of other power amplifiers, including those based on different technologies and architectures. Chapter 9 explores nonlinear circuit analysis methods, providing a comprehensive framework for analyzing and understanding complex electrical circuits. Chapter 10 concludes with a discussion of predistortion algorithms and their applications, highlighting their role in improving the performance of power amplifiers in communication systems.

In essence, this book serves as a valuable resource for researchers and RF/microwave engineering students alike. By blending theory with analysis, it provides a comprehensive understanding of power amplifier modeling, predistortion technology, and nonlinear circuit analysis methods. The authors' extensive expertise and contributions make this book an essential reference for anyone seeking to advance their knowledge in these critical areas.

Weight: 453g
Dimension: 229 x 152 (mm)
ISBN-13: 9781032010328