Research Article
Adaptive Particle Swarm Optimization for Harmonic Impedance Matching in 5G Power Amplifier Design
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@INPROCEEDINGS{10.1007/978-3-030-69069-4_31, author={Chengxi Bian and Weiqing Dong and Wa Kong and Jing Xia}, title={Adaptive Particle Swarm Optimization for Harmonic Impedance Matching in 5G Power Amplifier Design}, proceedings={Wireless and Satellite Systems. 11th EAI International Conference, WiSATS 2020, Nanjing, China, September 17-18, 2020, Proceedings, Part I}, proceedings_a={WISATS}, year={2021}, month={2}, keywords={5G Class-F Particle swarm optimization Harmonic impedance High efficiency Power amplifier}, doi={10.1007/978-3-030-69069-4_31} }- Chengxi Bian
Weiqing Dong
Wa Kong
Jing Xia
Year: 2021
Adaptive Particle Swarm Optimization for Harmonic Impedance Matching in 5G Power Amplifier Design
WISATS
Springer
DOI: 10.1007/978-3-030-69069-4_31
Abstract
This paper proposes an optimization-oriented design method for harmonic tuned power amplifier (PA) using particle swarm optimization (PSO). Optimal source and load impedances for achieving high efficiency are obtained at the package plane of a Wolfspeed CGH40010 transistor. PSO is employed to optimize matching networks for fitting the desired trajectories of impedances. The designed PA with optimized matching networks was simulated in Keysight's advanced design system for verification. The results showed that the saturation efficiency of the PA reaches 75% at 3.5 GHz with associated output power of 42 dBm, which verified that the method can be used to design high efficiency PA for 5G mobile communication systems.
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