Haojie Chang

Inverse Design of Compact and Wideband Inverted Doherty Power Amplifiers Using Deep Learning

Han Zhou, Haojie Chang, David Widen, Christian Fager

This paper presents a deep learning-assisted methodology for the inverse synthesis of a compact, wideband inverted Doherty power amplifier (PA). Convolutional neural networks (CNNs) and genetic algorithms (GAs) are jointly employed to generate pixelated Doherty combiner networks…Read more

AI-Assisted Deep-Learning-Based Design of High-Efficiency Class F Power Amplifiers

Han Zhou, Haojie Chang, David Widén, Ludvig Fornstedt, Gabriel Melin, Christian Fager