K. El-Akhdar, D. Gapillout, C. Mazière, S. Mons, E. Ngoya
{"title":"A phase reference standard free setup for two-path memory model identification of wideband power amplifier","authors":"K. El-Akhdar, D. Gapillout, C. Mazière, S. Mons, E. Ngoya","doi":"10.1109/ARFTG.2017.8000841","DOIUrl":null,"url":null,"abstract":"This paper presents a measurement scenario for the indirect identification of long term memory kernel of the two-path memory behavioral model. The measurement principle is based on the use of a regular VNA setup and is applied here for the characterization and modeling of a LDMOS power amplifier. It has been experimentally demonstrated that this measurement principle allows an accurate model identification by performing a simple set of measurements. Extracted model proves the ability to provide a good prediction for complex communication signals.","PeriodicalId":282023,"journal":{"name":"2017 89th ARFTG Microwave Measurement Conference (ARFTG)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 89th ARFTG Microwave Measurement Conference (ARFTG)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ARFTG.2017.8000841","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
This paper presents a measurement scenario for the indirect identification of long term memory kernel of the two-path memory behavioral model. The measurement principle is based on the use of a regular VNA setup and is applied here for the characterization and modeling of a LDMOS power amplifier. It has been experimentally demonstrated that this measurement principle allows an accurate model identification by performing a simple set of measurements. Extracted model proves the ability to provide a good prediction for complex communication signals.