In this letter, a new Bayesian optimization (BO) method with dynamic feasible region shrinkage (DFRS) technique for power amplifier (PA) design is proposed. As a powerful optimization tool, it provides a more effective way to optimize the performance of PA than the embedded commercial optimization tools. It also has a better convergence speed than the existing fixed mode acquisition function. Results show that the new technique provides a great optimization for PA design, not only for circuit optimization but also for electromagnetic (EM) optimization.

A Broadband PA Design Based on Bayesian Optimization Augmented by Dynamic Feasible Region Shrinkage

Crupi, Giovanni
Secondo
;
2022-01-01

Abstract

In this letter, a new Bayesian optimization (BO) method with dynamic feasible region shrinkage (DFRS) technique for power amplifier (PA) design is proposed. As a powerful optimization tool, it provides a more effective way to optimize the performance of PA than the embedded commercial optimization tools. It also has a better convergence speed than the existing fixed mode acquisition function. Results show that the new technique provides a great optimization for PA design, not only for circuit optimization but also for electromagnetic (EM) optimization.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11570/3234045
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