P. Barmuta, F. Ferranti, K. Łukasik, G. P. Gibiino, D. Schreurs
{"title":"Hybrid nonlinear model for microwave active devices using kriging","authors":"P. Barmuta, F. Ferranti, K. Łukasik, G. P. Gibiino, D. Schreurs","doi":"10.1109/INMMIC.2017.7927317","DOIUrl":null,"url":null,"abstract":"This paper presents a hybrid empirical-behavioral model applied to microwave active devices. The empirical part ensures meaningful, physical response over a wide range of variables, while the behavioral part boosts the accuracy in the particular region of interest. A simple Kriging with zero mean value is employed as the behavioral model. Such hybrid model outperforms the sole empirical model and a hybrid with radial-basis-functions model both in interpolation performance and lower extraction time. The extrapolation capabilities of the model are maintained.","PeriodicalId":322300,"journal":{"name":"2017 Integrated Nonlinear Microwave and Millimetre-wave Circuits Workshop (INMMiC)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 Integrated Nonlinear Microwave and Millimetre-wave Circuits Workshop (INMMiC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/INMMIC.2017.7927317","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
This paper presents a hybrid empirical-behavioral model applied to microwave active devices. The empirical part ensures meaningful, physical response over a wide range of variables, while the behavioral part boosts the accuracy in the particular region of interest. A simple Kriging with zero mean value is employed as the behavioral model. Such hybrid model outperforms the sole empirical model and a hybrid with radial-basis-functions model both in interpolation performance and lower extraction time. The extrapolation capabilities of the model are maintained.