Pushing the Linearity Limits of a Digital Polar Transmitter

M. Hashemi, M. Alavi, L. D. de Vreede
{"title":"Pushing the Linearity Limits of a Digital Polar Transmitter","authors":"M. Hashemi, M. Alavi, L. D. de Vreede","doi":"10.23919/EUMIC.2018.8539964","DOIUrl":null,"url":null,"abstract":"The maximum achievable linearity of a digital polar transmitter (DPTX) is mainly constrained by two RF-DAC associated nonidealities; namely, aliasing of sampling spectral replicas (SSR) of the AM and PM signals, and the presence of nonuniform quantization noise. In this work, using DPTX hardware linearization, in combination with PM SSR filtering and iterative learning control (ILC) algorithm improved by look-up tables (LUT), a CMOS DPTX is linearized close to its theoretical ACPR and EVM limits as predicted by its resolution. Using the ILC technique as underlying basis, an effective real-time direct-learning digital predistortion (DPD) technique is proposed. Measurement results show −60/−53 dBc ACPR and −60/−47 dB EVM using the ILC algorithm for 16/64 MHz OFDM signals, and −55/−48 dBc ACPR and −50/−44 dB EVM using the proposed DPD for 16/64 MHz OFDM signals. To the best of author's knowledge, this is the highest linearity reported for a DPTX operating with wideband signals.","PeriodicalId":248339,"journal":{"name":"2018 13th European Microwave Integrated Circuits Conference (EuMIC)","volume":"115 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 13th European Microwave Integrated Circuits Conference (EuMIC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/EUMIC.2018.8539964","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

The maximum achievable linearity of a digital polar transmitter (DPTX) is mainly constrained by two RF-DAC associated nonidealities; namely, aliasing of sampling spectral replicas (SSR) of the AM and PM signals, and the presence of nonuniform quantization noise. In this work, using DPTX hardware linearization, in combination with PM SSR filtering and iterative learning control (ILC) algorithm improved by look-up tables (LUT), a CMOS DPTX is linearized close to its theoretical ACPR and EVM limits as predicted by its resolution. Using the ILC technique as underlying basis, an effective real-time direct-learning digital predistortion (DPD) technique is proposed. Measurement results show −60/−53 dBc ACPR and −60/−47 dB EVM using the ILC algorithm for 16/64 MHz OFDM signals, and −55/−48 dBc ACPR and −50/−44 dB EVM using the proposed DPD for 16/64 MHz OFDM signals. To the best of author's knowledge, this is the highest linearity reported for a DPTX operating with wideband signals.
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
推进数字极极发射机的线性极限
数字极极发射机(DPTX)的最大可实现线性度主要受到RF-DAC相关的两个非理想性的限制;即调幅和调幅信号的采样频谱副本(SSR)混叠,以及不均匀量化噪声的存在。在这项工作中,使用DPTX硬件线性化,结合PM SSR滤波和通过查找表(LUT)改进的迭代学习控制(ILC)算法,将CMOS DPTX线性化,接近其理论ACPR和EVM极限,如其分辨率预测的那样。以ILC技术为基础,提出了一种有效的实时直接学习数字预失真(DPD)技术。测量结果表明,对于16/64 MHz的OFDM信号,采用ILC算法的ACPR值为- 60/−53 dBc, EVM值为- 60/−47 dB;对于16/64 MHz的OFDM信号,采用本文提出的DPD算法的ACPR值为- 55/−48 dBc, EVM值为- 50/−44 dB。据作者所知,这是使用宽带信号的DPTX所报告的最高线性度。
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 Multipurpose 76 GHz Radar Transceiver System for Automotive Applications Based on SiGe MMICs X Band GaN Based MMIC Power Amplifier with 36.5dBm P1-dB for Space Applications 110–135 GHz SiGe BiCMOS Frequency Quadrupler Based on a Single Gilbert Cell Robust X-band GaN LNA with Integrated Active Limiter Optimization of PCB Transitions for Vertical Solderless Coaxial Connectors up to 67 GHz
×
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