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Adaptive Particle Swarm Optimization for Harmonic Impedance Matching in 5G Power Amplifier Design

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Wireless and Satellite Systems (WiSATS 2020)

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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References

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Acknowledgement

This work was supported by the National Science Foundation of China under Grant No. 61701199, the Key Research & Development Plan of Jiangsu Province under Grant No. BE2018108 and the Natural Science Foundation of Jiangsu Province of China under Grant No. BK20150528.

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Correspondence to Jing Xia .

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Bian, C., Dong, W., Kong, W., Xia, J. (2021). Adaptive Particle Swarm Optimization for Harmonic Impedance Matching in 5G Power Amplifier Design. In: Wu, Q., Zhao, K., Ding, X. (eds) Wireless and Satellite Systems. WiSATS 2020. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 357. Springer, Cham. https://doi.org/10.1007/978-3-030-69069-4_31

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  • DOI: https://doi.org/10.1007/978-3-030-69069-4_31

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-69068-7

  • Online ISBN: 978-3-030-69069-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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