{"title":"Implementation of Polynomial Fitted Poly-Harmonic Distortion Model with Frequency Defined Device","authors":"Xiaoqiang Tang, Jialin Cai","doi":"10.1109/ICTA56932.2022.9963123","DOIUrl":null,"url":null,"abstract":"In this paper, a polynomial fitted poly-harmonic distortion (PHD) model is proposed, and it is implemented with frequency defined device (FDD). Polynomial fitting technique provides an effective method to including PHD model with different input power states through single set of model parameter. It can greatly reduce the model extraction complexity, and compact the model file size. The basic theory of PHD model, polynomial fitting method, and the FDD technique is provided in this work. A 10 W Gallium Nitride (GaN) packaged transistor is used in the test example. The results show that the proposed model has high accuracy for both fundamental and second harmonic behavioral predictions.","PeriodicalId":325602,"journal":{"name":"2022 IEEE International Conference on Integrated Circuits, Technologies and Applications (ICTA)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE International Conference on Integrated Circuits, Technologies and Applications (ICTA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICTA56932.2022.9963123","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
In this paper, a polynomial fitted poly-harmonic distortion (PHD) model is proposed, and it is implemented with frequency defined device (FDD). Polynomial fitting technique provides an effective method to including PHD model with different input power states through single set of model parameter. It can greatly reduce the model extraction complexity, and compact the model file size. The basic theory of PHD model, polynomial fitting method, and the FDD technique is provided in this work. A 10 W Gallium Nitride (GaN) packaged transistor is used in the test example. The results show that the proposed model has high accuracy for both fundamental and second harmonic behavioral predictions.
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