Design of A Broadband Asymmetric Doherty PA Using PSO Algorithm With Dynamic Variable Hyperparameters

In this article, a particle swarm optimization algorithm with dynamic variable hyperparameter is proposed and applied to the optimization design of a wideband asymmetric Doherty power amplifier (DPA). Compared with the optimization algorithm in the common electronic design automation software and the traditional PSO algorithm, the proposed algorithm has stronger convergence and higher optimization performance. The test results show that in the operating frequency band of 1.5–2.2 GHz, the saturation output power (Pout) reaches 43.9–45.1 dBm, and the saturation drain efficiency (DE) reaches 60.3%–64.9%. Additionally, the DE can reach 48%–56% when the back-off is greater than 9 dB. An evaluation of linearity and digital predistortion has also been conducted under the excitation of a 20-MHz 5G new radio (NR) signal. For this DPA, excellent linearity is demonstrated.