{"title":"Developing a linear model of RF power generators with pseudo random binary signals (PRBS)","authors":"Haijun Fang, S. Dianat, L. K. Mestha, A. Radomski","doi":"10.1109/ICCAS.2014.6987734","DOIUrl":null,"url":null,"abstract":"In this paper, we will present an approach developing a linear model of a radio frequency (RF) power generator by using pseudo random binary signals (PRBS). We will compare two linear models obtained respectively by the PRBS approach and a traditional modeling approach. The result shows that both approaches achieve a very similar model of the RF power generator. Moreover, it can be shown that the PRBS approach is easily implemented in FPGA (Field-Programmable Gate Array) and can be adapted for the on-line system identification.","PeriodicalId":6525,"journal":{"name":"2014 14th International Conference on Control, Automation and Systems (ICCAS 2014)","volume":"4 1","pages":"1158-1162"},"PeriodicalIF":0.0000,"publicationDate":"2014-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 14th International Conference on Control, Automation and Systems (ICCAS 2014)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCAS.2014.6987734","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
In this paper, we will present an approach developing a linear model of a radio frequency (RF) power generator by using pseudo random binary signals (PRBS). We will compare two linear models obtained respectively by the PRBS approach and a traditional modeling approach. The result shows that both approaches achieve a very similar model of the RF power generator. Moreover, it can be shown that the PRBS approach is easily implemented in FPGA (Field-Programmable Gate Array) and can be adapted for the on-line system identification.