A Broadband PA Design Based on Bayesian Optimization Augmented by Dynamic Feasible Region Shrinkage
Yan Qu, Giovanni Crupi, Jialin Cai
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.
Topics & Concepts
Bayesian optimizationAmplifierOptimization problemBroadbandComputer scienceElectronic engineeringConvergence (economics)Power (physics)Mathematical optimizationEngineeringMathematicsAlgorithmCMOSTelecommunicationsEconomic growthEconomicsPhysicsQuantum mechanicsAdvanced Power Amplifier DesignRadio Frequency Integrated Circuit DesignMicrowave Engineering and Waveguides