Two automated procedures based on Bayesian optimization are used to search for the optimal input splitting and the optimal multi-stage gate biasing of a dual input Doherty MMIC PA in 150-mm GaN-on-SiC technology operating at 24 GHz. The results show the effectiveness of the methods in exploiting the modulated-input control for exploring the linearity-efficiency compromise across a 100-MHz-wide 5G-like high-PAPR excitation, enhancing the tuning of the MMIC for wideband performance in the Ka-Band, which is hardly possible in the design phase.
Mengozzi, M., Angelotti, A.m., Gibiino, G.p., Schulze, C., Florian, C., Colantonio, P., et al. (2023). Wideband Automated Tuning of Ka-Band Dual Input Doherty MMIC PA using Bayesian optimization. In 2023 18th European Microwave Integrated Circuits Conference (EuMIC) (pp.1-4) [10.23919/EuMIC58042.2023.10288920].
Wideband Automated Tuning of Ka-Band Dual Input Doherty MMIC PA using Bayesian optimization
Angelotti, Alberto Maria;Gibiino, Gian Piero;Florian, Corrado;Colantonio, Paolo;
2023-01-01
Abstract
Two automated procedures based on Bayesian optimization are used to search for the optimal input splitting and the optimal multi-stage gate biasing of a dual input Doherty MMIC PA in 150-mm GaN-on-SiC technology operating at 24 GHz. The results show the effectiveness of the methods in exploiting the modulated-input control for exploring the linearity-efficiency compromise across a 100-MHz-wide 5G-like high-PAPR excitation, enhancing the tuning of the MMIC for wideband performance in the Ka-Band, which is hardly possible in the design phase.File | Dimensione | Formato | |
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Wideband_Automated_Tuning_of_Ka-Band_Dual_Input_Doherty_MMIC_PA_using_Bayesian_optimization.pdf
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