Data-driven Optimization for High-efficiency Power Amplifier Designs

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

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Detail(s)

Original languageEnglish
Title of host publication2022 IEEE Conference on Antenna Measurements and Applications (CAMA)
PublisherInstitute of Electrical and Electronics Engineers, Inc.
Number of pages5
ISBN (electronic)9781665490375
ISBN (print)978-1-6654-9038-2
Publication statusPublished - Dec 2022

Publication series

NameIEEE Conference on Antenna Measurements and Applications, CAMA
ISSN (Print)2474-1760
ISSN (electronic)2643-6795

Conference

Title2022 IEEE Conference on Antenna Measurements and Applications (CAMA 2022)
LocationHybrid
PlaceChina
CityGuangzhou
Period14 - 17 December 2022

Abstract

The load-pull technique is a primary routine for designing and optimizing power amplifiers (PAs). However, most load-pull techniques only focus on the fundamental impedance while fixing the harmonic terminations, which limits the achievable high efficiency of PA designs. In this paper, a data-driven searching technique is proposed for high-efficiency PA design, which achieves high efficiency by proposing simultaneous novel fundamental and harmonic impedances. Use of practical circuit simulation results as training data, allows surrogate models to be constructed using least-square support vector regression. After that, a second-order ascending strategy is adopted to optimize the surrogate model to find optimum terminations. To verify the effectiveness of the proposed algorithm, a high-efficiency PA is designed. Simulation results show that the PA achieves a maximum power-added efficiency of 80.5 % at 2.6 GHz with an output power of 41.2 dBm and a gain of 13.2 dB. © 2022 IEEE.

Research Area(s)

  • data-driven searching technique, high-efficiency power amplifier, least-square support vector regression, load-pull technique, surrogate model

Citation Format(s)

Data-driven Optimization for High-efficiency Power Amplifier Designs. / Shu, Peiwen; Zhou, Xinyu; Sharma, Tushar et al.
2022 IEEE Conference on Antenna Measurements and Applications (CAMA). Institute of Electrical and Electronics Engineers, Inc., 2022. (IEEE Conference on Antenna Measurements and Applications, CAMA).

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review