Ehsan M Azad, R. Quaglia, Kauser Chadhary, J. Bell, P. Tasker
{"title":"Cardiff Model Utilization for Predicting the Response of Multiple-Input Power Amplifiers","authors":"Ehsan M Azad, R. Quaglia, Kauser Chadhary, J. Bell, P. Tasker","doi":"10.1109/mms55062.2022.9825516","DOIUrl":null,"url":null,"abstract":"This paper explores the use of the Cardiff non-linear behavioral model to characterize the response of multiple-input power amplifiers. In particular, a case study is presented on a 300 W load modulated balanced amplifier operating at 2.1 GHz. The model mathematical formulation is presented, and the comparison between original data and model shows an error below 3%. More importantly, it is shown that the model can accurately interpolate between characterization points allowing a reduction of up to 96% of the points needed to accurately predict the model behavior. This significantly reduces the simulation and measurement time for multiple-input PA's whilst attempting to determine the optimal driving conditions.","PeriodicalId":124088,"journal":{"name":"2022 Microwave Mediterranean Symposium (MMS)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 Microwave Mediterranean Symposium (MMS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/mms55062.2022.9825516","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
This paper explores the use of the Cardiff non-linear behavioral model to characterize the response of multiple-input power amplifiers. In particular, a case study is presented on a 300 W load modulated balanced amplifier operating at 2.1 GHz. The model mathematical formulation is presented, and the comparison between original data and model shows an error below 3%. More importantly, it is shown that the model can accurately interpolate between characterization points allowing a reduction of up to 96% of the points needed to accurately predict the model behavior. This significantly reduces the simulation and measurement time for multiple-input PA's whilst attempting to determine the optimal driving conditions.