Benhao Jin, Zefang Hao, Giovanni Crupi, Jialin Cai
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引用次数: 0
Abstract
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.
期刊介绍:
Prediction through modelling forms the basis of engineering design. The computational power at the fingertips of the professional engineer is increasing enormously and techniques for computer simulation are changing rapidly. Engineers need models which relate to their design area and which are adaptable to new design concepts. They also need efficient and friendly ways of presenting, viewing and transmitting the data associated with their models.
The International Journal of Numerical Modelling: Electronic Networks, Devices and Fields provides a communication vehicle for numerical modelling methods and data preparation methods associated with electrical and electronic circuits and fields. It concentrates on numerical modelling rather than abstract numerical mathematics.
Contributions on numerical modelling will cover the entire subject of electrical and electronic engineering. They will range from electrical distribution networks to integrated circuits on VLSI design, and from static electric and magnetic fields through microwaves to optical design. They will also include the use of electrical networks as a modelling medium.