Overlapped segment piece-wise polynomial pre-distortion for the linearisation of power amplifiers in the presence of high PAPR OFDM signals

S. Bensmida, K. Mimis, K. Morris, M. Beach, J. Mcgeehan, J. Lees, J. Benedikt, P. Tasker
{"title":"Overlapped segment piece-wise polynomial pre-distortion for the linearisation of power amplifiers in the presence of high PAPR OFDM signals","authors":"S. Bensmida, K. Mimis, K. Morris, M. Beach, J. Mcgeehan, J. Lees, J. Benedikt, P. Tasker","doi":"10.1109/MWSYM.2012.6259543","DOIUrl":null,"url":null,"abstract":"A modified piece-wise polynomial pre-distortion is proposed, investigated and compared against classic memoryless polynomial pre-distortion. The proposed enhanced piece-wise polynomial pre-distortion uses the overlap between segments to ensure continuity in the total pre-distortion function. The implementation of overlap allows the use of a simple error estimation algorithm to minimise hand over error. The classic and proposed piece-wise pre-distortion performances are assessed and compared for several sets of polynomial coefficients. The proposed method is shown to consistently outperform classical polynomial pre-distortion in terms of required coefficients and linearity improvement. The method is applied for the linearisation of an envelope tracking Class-J PA at 1.7GHz, under a 1.4MHz LTE signal with a 14.4dB PAPR.","PeriodicalId":6385,"journal":{"name":"2012 IEEE/MTT-S International Microwave Symposium Digest","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2012-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"13","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 IEEE/MTT-S International Microwave Symposium Digest","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MWSYM.2012.6259543","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

A modified piece-wise polynomial pre-distortion is proposed, investigated and compared against classic memoryless polynomial pre-distortion. The proposed enhanced piece-wise polynomial pre-distortion uses the overlap between segments to ensure continuity in the total pre-distortion function. The implementation of overlap allows the use of a simple error estimation algorithm to minimise hand over error. The classic and proposed piece-wise pre-distortion performances are assessed and compared for several sets of polynomial coefficients. The proposed method is shown to consistently outperform classical polynomial pre-distortion in terms of required coefficients and linearity improvement. The method is applied for the linearisation of an envelope tracking Class-J PA at 1.7GHz, under a 1.4MHz LTE signal with a 14.4dB PAPR.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
在高PAPR OFDM信号存在下,用于功率放大器线性化的重叠分段分段多项式预失真
提出了一种改进的分段多项式预失真算法,并与经典的无记忆多项式预失真算法进行了比较。提出的增强分段多项式预失真利用片段之间的重叠来保证总预失真函数的连续性。重叠的实现允许使用简单的误差估计算法来最小化移交误差。对几种多项式系数集的经典预失真性能和提出的分段预失真性能进行了评估和比较。结果表明,该方法在所需系数和线性度改善方面始终优于经典多项式预失真。该方法应用于1.4MHz LTE信号下的1.7GHz包络跟踪j类PA的线性化,PAPR为14.4dB。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
A dispersion-tapered reflection soliton oscillator 4–12 GHz and 25–34 GHz cryogenic MHEMT MMIC Low Noise Amplifiers for radio astronomy 1 Gb/s wireless link at 200 GHz using heterodyne detection Overview of the research and applications of the space-spectral domain approach (SSDA) A microwave sensing system for aqueous concentration measurements based on a microwave reflectometer
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1