{"title":"A coefficients extraction algorithm for LUT-based Hammerstein predistorters","authors":"Zhan Shi, Jianmin Zhou, H. Hayashi, T. Kubo","doi":"10.1109/PIMRC.2008.4699434","DOIUrl":null,"url":null,"abstract":"There are many digital baseband predistorters, which are used to overcome the nonlinearity and memory effect of power amplifier for wideband signals. Look-up table-based Hammerstein predistorter is one of them and has remarkable advantages comparing with the others. In this paper, an iterative algorithm is proposed for extracting the coefficients of the look-up table-based Hammerstein predistorter. An ADS simulation testbed is built to verify the predistorter and algorithm, and the simulation results demonstrate the good performance of our algorithm.","PeriodicalId":125554,"journal":{"name":"2008 IEEE 19th International Symposium on Personal, Indoor and Mobile Radio Communications","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 IEEE 19th International Symposium on Personal, Indoor and Mobile Radio Communications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PIMRC.2008.4699434","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
There are many digital baseband predistorters, which are used to overcome the nonlinearity and memory effect of power amplifier for wideband signals. Look-up table-based Hammerstein predistorter is one of them and has remarkable advantages comparing with the others. In this paper, an iterative algorithm is proposed for extracting the coefficients of the look-up table-based Hammerstein predistorter. An ADS simulation testbed is built to verify the predistorter and algorithm, and the simulation results demonstrate the good performance of our algorithm.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
