Neuro-hardware for peak power reduction of oversampled OFDM signal

Atsushi Mori, Masaya Ohta, Katsumi Yamashita
{"title":"Neuro-hardware for peak power reduction of oversampled OFDM signal","authors":"Atsushi Mori,&nbsp;Masaya Ohta,&nbsp;Katsumi Yamashita","doi":"10.1002/ecjc.20285","DOIUrl":null,"url":null,"abstract":"<p>OFDM communication system has recently been attracting attention because of its features of high spectrum efficiency and robustness in a multipath environment. The OFDM signal often exhibits a high peak power. It is important to reduce the peak power, since communication quality is degraded and unnecessary outband power radiation is produced when such a signal is amplified by a nonlinear amplifier. This paper considers the peak power suppression problem in an oversampled OFDM signal and presents a solution using a mutually coupled neural network. The peak power suppression performance of the proposed method and the accompanying reduction of the outband radiation power and the bit error rate are evaluated by numerical experiments. Neuro-hardware which can handle the peak power suppression process in real time is experimentally constructed, and its performance is evaluated. © 2007 Wiley Periodicals, Inc. Electron Comm Jpn Pt 3, 90(8): 54– 62, 2007; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/ecjc.20285</p>","PeriodicalId":100407,"journal":{"name":"Electronics and Communications in Japan (Part III: Fundamental Electronic Science)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2007-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1002/ecjc.20285","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Electronics and Communications in Japan (Part III: Fundamental Electronic Science)","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/ecjc.20285","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

Abstract

OFDM communication system has recently been attracting attention because of its features of high spectrum efficiency and robustness in a multipath environment. The OFDM signal often exhibits a high peak power. It is important to reduce the peak power, since communication quality is degraded and unnecessary outband power radiation is produced when such a signal is amplified by a nonlinear amplifier. This paper considers the peak power suppression problem in an oversampled OFDM signal and presents a solution using a mutually coupled neural network. The peak power suppression performance of the proposed method and the accompanying reduction of the outband radiation power and the bit error rate are evaluated by numerical experiments. Neuro-hardware which can handle the peak power suppression process in real time is experimentally constructed, and its performance is evaluated. © 2007 Wiley Periodicals, Inc. Electron Comm Jpn Pt 3, 90(8): 54– 62, 2007; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/ecjc.20285

用于降低过采样OFDM信号峰值功率的神经硬件
OFDM通信系统由于其在多径环境中具有高频谱效率和鲁棒性的特点,近年来引起了人们的关注。OFDM信号经常表现出高峰值功率。降低峰值功率是重要的,因为当这样的信号被非线性放大器放大时,通信质量降低并且产生不必要的带外功率辐射。本文考虑了过采样OFDM信号中的峰值功率抑制问题,并提出了一种使用相互耦合的神经网络的解决方案。通过数值实验评估了所提出方法的峰值功率抑制性能以及带外辐射功率和误码率的降低。实验构建了能够实时处理峰值功率抑制过程的神经硬件,并对其性能进行了评估。©2007 Wiley Periodicals,股份有限公司Electron Comm Jpn Pt 3,90(8):54–62007;在线发表于Wiley InterScience(www.InterScience.Wiley.com)。DOI 10.1002/ecjc.20285
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 求助全文
来源期刊
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信