{"title":"A tunable pre-distorter for linearization of solid state power amplifier in mobile wireless OFDM","authors":"Byung Moo Lee, R. de Figueiredo","doi":"10.1109/EMRTW.2005.195686","DOIUrl":null,"url":null,"abstract":"One of the major problems posed by orthogonal frequency division multiplexing (OFDM) is its high peak-to-average-power ratio (PAPR), which seriously limits the power efficiency of the solid state power amplifier (SSPA) because of the nonlinear distortion caused by high PAPR. In the present paper, we describe an analytical design approach that uses a sparse and yet accurate model for the pre-distorter (PD) based on the SSPA characteristics. Furthermore, the PD configuration is self-tuning, i.e., it can automatically re-adjust itself by tracking changes in the SSPA characteristics with very few (typically two) training symbols.","PeriodicalId":119938,"journal":{"name":"2005 IEEE 7th CAS Symposium on Emerging Technologies: Circuits and Systems for 4G Mobile Wireless Communications","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2005-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"13","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2005 IEEE 7th CAS Symposium on Emerging Technologies: Circuits and Systems for 4G Mobile Wireless Communications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EMRTW.2005.195686","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 13
Abstract
One of the major problems posed by orthogonal frequency division multiplexing (OFDM) is its high peak-to-average-power ratio (PAPR), which seriously limits the power efficiency of the solid state power amplifier (SSPA) because of the nonlinear distortion caused by high PAPR. In the present paper, we describe an analytical design approach that uses a sparse and yet accurate model for the pre-distorter (PD) based on the SSPA characteristics. Furthermore, the PD configuration is self-tuning, i.e., it can automatically re-adjust itself by tracking changes in the SSPA characteristics with very few (typically two) training symbols.