Hybrid Techniques for Reducing PAPR in OFDM Systems

P. Jayasree, M. Ponmani Raja
{"title":"Hybrid Techniques for Reducing PAPR in OFDM Systems","authors":"P. Jayasree, M. Ponmani Raja","doi":"10.1109/ICCSP48568.2020.9182199","DOIUrl":null,"url":null,"abstract":"Orthogonal Frequency Division Multiplexing (OFDM) is a digital modulation technique which is widely applied in broadband communication systems. The concept of OFDM is to spliting a large data rate into low rate streams that are transmitted concurrently over a number of subcarriers. The disadvantage of OFDM is that the composite signal can shows a high Peak to Average Power Ratio (PAPR). PAPR is the proportion of maximal value of the signal to the mean value of the signal. At transmitter side, large peak values as input to high power amplifiers. this cause, high power amplifiers behave in non-linear section directing to nonlinear degradation. Greater PAPR appear in non-linearities in transmitting side, following to complicate operating. So, minimization of PAPR is compulsory for slighter difficulties, favourable effectiveness and significant constancy. Many methods have been suggested to diminish PAPR over the years. The prefered method can be minimize PAPR is effectively using precoding combined with new error function companding. The proposed technique is an excellent method for minimizing the PAPR of signals with acceptable BER compared to other systems.","PeriodicalId":321133,"journal":{"name":"2020 International Conference on Communication and Signal Processing (ICCSP)","volume":"24 2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 International Conference on Communication and Signal Processing (ICCSP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCSP48568.2020.9182199","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Orthogonal Frequency Division Multiplexing (OFDM) is a digital modulation technique which is widely applied in broadband communication systems. The concept of OFDM is to spliting a large data rate into low rate streams that are transmitted concurrently over a number of subcarriers. The disadvantage of OFDM is that the composite signal can shows a high Peak to Average Power Ratio (PAPR). PAPR is the proportion of maximal value of the signal to the mean value of the signal. At transmitter side, large peak values as input to high power amplifiers. this cause, high power amplifiers behave in non-linear section directing to nonlinear degradation. Greater PAPR appear in non-linearities in transmitting side, following to complicate operating. So, minimization of PAPR is compulsory for slighter difficulties, favourable effectiveness and significant constancy. Many methods have been suggested to diminish PAPR over the years. The prefered method can be minimize PAPR is effectively using precoding combined with new error function companding. The proposed technique is an excellent method for minimizing the PAPR of signals with acceptable BER compared to other systems.
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
降低OFDM系统中PAPR的混合技术
正交频分复用(OFDM)是一种广泛应用于宽带通信系统的数字调制技术。OFDM的概念是将大数据速率拆分为低速率流,这些流通过许多子载波并发传输。OFDM的缺点是复合信号的峰值平均功率比(PAPR)较高。PAPR是信号的最大值与信号均值的比值。在发射端,大的峰值作为高功率放大器的输入。因此,大功率放大器在非线性截面上的表现导致了非线性退化。在发射侧出现较大的非线性,使操作复杂化。因此,最小化PAPR对于较轻的困难,有利的有效性和显著的稳定性是强制性的。多年来,已经提出了许多方法来减少PAPR。采用预编码和新的误差函数扩展相结合的方法可以有效地减小PAPR。与其他系统相比,该技术是最小化具有可接受误码率的信号的PAPR的一种很好的方法。
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
Acoustic Scene Classification in Hearing aid using Deep Learning Plant Disease Detection and Recognition using K means Clustering THD Reduction in Execution of A Nine Level Single Phase Inverter Analysis of Heel Fissure Therapy using Thermal Imaging and Image Processing Malicious Application Detection in Android using Machine Learning
×
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