{"title":"Adaptable look-up tables for linearizing high power amplifiers","authors":"A. Ivanov, D. Lakontsev","doi":"10.1109/ICFSP.2017.8097149","DOIUrl":null,"url":null,"abstract":"This paper presents a technique of adaptive digital predistortion (DPD) with a memory effect for linearization a high power amplifier (HPA). The proposed predistortion linearizer is based on Look-Up tables (LUTs) with linear interpolation and adaptive segmentation. Simulation results with a lab signal of 40W dual-band HPA with memory effect show that the proposed technique achieves a better performance compared with a common LUT-based linear interpolation in the same chip complexity. We also propose an online segmentation method, leading to a quasi-uniform noise distribution between LUTs. Additionally, an online method of LUTs memory adaptation is presented to save chip memory resources.","PeriodicalId":382413,"journal":{"name":"2017 3rd International Conference on Frontiers of Signal Processing (ICFSP)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 3rd International Conference on Frontiers of Signal Processing (ICFSP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICFSP.2017.8097149","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
This paper presents a technique of adaptive digital predistortion (DPD) with a memory effect for linearization a high power amplifier (HPA). The proposed predistortion linearizer is based on Look-Up tables (LUTs) with linear interpolation and adaptive segmentation. Simulation results with a lab signal of 40W dual-band HPA with memory effect show that the proposed technique achieves a better performance compared with a common LUT-based linear interpolation in the same chip complexity. We also propose an online segmentation method, leading to a quasi-uniform noise distribution between LUTs. Additionally, an online method of LUTs memory adaptation is presented to save chip memory resources.