I. Zemzemi, Noureddine Aloui, M. Alizadeh, N. Boulejfen, D. Rönnow
{"title":"Low Complexity Memory Polynomial Digital Predistorter for MIMO Wireless Transmitters","authors":"I. Zemzemi, Noureddine Aloui, M. Alizadeh, N. Boulejfen, D. Rönnow","doi":"10.1109/MMS48040.2019.9157306","DOIUrl":null,"url":null,"abstract":"This paper proposes a novel digital predistorter (DPD) for 2⨯2 nonlinear multiple-input-multiple-output (MIMO) transmitters. It is intended to compensate for the nonlinear distortion and the memory effects generated by power amplifiers (PAs) in addition to the crosstalk effects. The novel polynomial DPD performs comparably to the state-of-art Generalized Memory Polynomial for Nonlinear Crosstalk model (GMPNLC), while requiring much less coefficients. However, it exhibits much higher performances compared to Generalized Memory Polynomial for Linear Crosstalk (GMPLC) DPD for the same problem size.","PeriodicalId":373813,"journal":{"name":"2019 IEEE 19th Mediterranean Microwave Symposium (MMS)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE 19th Mediterranean Microwave Symposium (MMS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MMS48040.2019.9157306","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
This paper proposes a novel digital predistorter (DPD) for 2⨯2 nonlinear multiple-input-multiple-output (MIMO) transmitters. It is intended to compensate for the nonlinear distortion and the memory effects generated by power amplifiers (PAs) in addition to the crosstalk effects. The novel polynomial DPD performs comparably to the state-of-art Generalized Memory Polynomial for Nonlinear Crosstalk model (GMPNLC), while requiring much less coefficients. However, it exhibits much higher performances compared to Generalized Memory Polynomial for Linear Crosstalk (GMPLC) DPD for the same problem size.