Abstract
This work designs a broadband power amplifier (PA) using multiobjective Bayesian optimization (MOBO) algorithm. Based on a 10-W gallium nitride (GaN) device, the work firstly uses Chebyshev impedance transformer to design preliminary matching networks, and then applies MOBO to build surrogate models and search for the optimum parameters of the matching networks. The design approach is implemented automatically on a cosimulation platform consisting of a programming environment and a commercial software. Measured results verify that the optimized PAusing MOBO algorithm achieves a power-added efficiency higher than 46.7% with output power more than 10W from 1.7 to 3.7GHz, demonstrating a broadband high-efficiency design.
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