{"title":"An Overview of the Optimization of RF Power Amplifiers using a Bayesian Algorithm : (Invited)","authors":"Jialin Cai, Jia Guo, Yan Qu","doi":"10.1109/SMACD58065.2023.10192208","DOIUrl":null,"url":null,"abstract":"An overview of the Bayesian approach to the optimization of broad-band radio frequency power amplifiers (PAs) is presented in this paper. Basic concepts associated with the Bayesian method, and existing Bayesian optimization (BO) methodologies for RF PAs with different acquisition functions (AFs) are described and compared. Additionally, the optimized PA results obtained using those optimization techniques are presented. Comparisons and discussions have been made between PAs using different Bayesian optimization algorithms.","PeriodicalId":239306,"journal":{"name":"2023 19th International Conference on Synthesis, Modeling, Analysis and Simulation Methods and Applications to Circuit Design (SMACD)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 19th International Conference on Synthesis, Modeling, Analysis and Simulation Methods and Applications to Circuit Design (SMACD)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SMACD58065.2023.10192208","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
An overview of the Bayesian approach to the optimization of broad-band radio frequency power amplifiers (PAs) is presented in this paper. Basic concepts associated with the Bayesian method, and existing Bayesian optimization (BO) methodologies for RF PAs with different acquisition functions (AFs) are described and compared. Additionally, the optimized PA results obtained using those optimization techniques are presented. Comparisons and discussions have been made between PAs using different Bayesian optimization algorithms.