Multi-objective Efficiency and Phase Distortion Optimizations for Automated Design of Power Amplifiers Through Deep Neural Networks

Lida Kouhalvandi,Osman Ceylan,Serdar Ozoguz

2021 IEEE MTT-S International Microwave Symposium (IMS)（2021）

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摘要

This study provides a comprehensive multi-objective optimization process for enhancing efficiency and minimizing phase distortion concurrently for high power amplifiers (HPAs) using deep neural networks (DNNs). The proposed optimization-oriented strategy consists of two sequential optimization phases: predicting the suitable HPA structure using a classification DNN and optimizing components values...

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关键词

Deep learning,Optimization methods,Predictive models,Numerical simulation,Transistors,Task analysis,Particle swarm optimization

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