GaN Power Amplifiers Design Using Efficient GA-ANN Dynamic Nonlinear Model

This paper demonstrates the applicability of in-house developed Genetic-Algorithm (GA) based Neural Network (NN) model for designing linear- and switching-mode power amplifiers. The modeling procedure was applied on 1-mm GaN HEMT and the developed model was implemented on Advanced-Design-System (ADS...

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Bibliographic Details
Main Authors: Jarndal, Anwar, Hamza, K Husna
Format: Conference Proceeding
Language:English
Subjects:
Computational modeling
Design automation
GaN HEMT
genetic algorithm
HEMTs
neural network
nonlinear model
power amplifier
Power amplifiers
Software
Solid modeling
Switches
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Summary:This paper demonstrates the applicability of in-house developed Genetic-Algorithm (GA) based Neural Network (NN) model for designing linear- and switching-mode power amplifiers. The modeling procedure was applied on 1-mm GaN HEMT and the developed model was implemented on Advanced-Design-System (ADS) Computer-Aided Design (CAD) software. It is used to design class-AB, class E and class F amplifiers at the frequency of 6 GHz and 10 GHz. The designed Class AB power amplifier at 6 GHz exhibited a maximum gain of 12.4 dB and maximum power added efficiency of 56%. The same amplifier achieved a maximum power added efficiency of 40 % at 10 GHz frequency of operation. The amplifier power added efficiency was then improved using Doherty technique to obtain 78% at 6 GHz and 72% at 10 GHz. The model was also demonstrated by implementing switching-mode Class E and Class F power amplifiers. The results of this paper validate the applicability of our proposed model for the design of linear and nonlinear application circuits.
ISSN:2161-1351
DOI:10.1109/DeSE54285.2021.9719341