利用阈值SLM降低OFDM系统PAPR的新技术

Bahubali K. Shiragapur, U. Wali, S. Bidwai
{"title":"利用阈值SLM降低OFDM系统PAPR的新技术","authors":"Bahubali K. Shiragapur, U. Wali, S. Bidwai","doi":"10.1109/IADCC.2013.6514279","DOIUrl":null,"url":null,"abstract":"Orthogonal Frequency Division Multiplexing (OFDM) is proven technology in modern wireless communication because of its high data rate, more immunity to delay spread. In this paper, we proposed probabilistic threshold Selective Mapping Technique which has low PAPR. The simulation result shows that modified technique has better PAPR reduction performance.","PeriodicalId":325901,"journal":{"name":"2013 3rd IEEE International Advance Computing Conference (IACC)","volume":"192 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"15","resultStr":"{\"title\":\"Novel techniques to reduce PAPR in OFDM systems using threshold SLM\",\"authors\":\"Bahubali K. Shiragapur, U. Wali, S. Bidwai\",\"doi\":\"10.1109/IADCC.2013.6514279\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Orthogonal Frequency Division Multiplexing (OFDM) is proven technology in modern wireless communication because of its high data rate, more immunity to delay spread. In this paper, we proposed probabilistic threshold Selective Mapping Technique which has low PAPR. The simulation result shows that modified technique has better PAPR reduction performance.\",\"PeriodicalId\":325901,\"journal\":{\"name\":\"2013 3rd IEEE International Advance Computing Conference (IACC)\",\"volume\":\"192 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-05-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"15\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 3rd IEEE International Advance Computing Conference (IACC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IADCC.2013.6514279\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 3rd IEEE International Advance Computing Conference (IACC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IADCC.2013.6514279","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 15

摘要

正交频分复用(OFDM)技术以其高数据速率、抗时延传播能力等优点在现代无线通信中得到了广泛的应用。本文提出了一种具有低PAPR的概率阈值选择性映射技术。仿真结果表明,改进后的方法具有更好的PAPR抑制性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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
Novel techniques to reduce PAPR in OFDM systems using threshold SLM
Orthogonal Frequency Division Multiplexing (OFDM) is proven technology in modern wireless communication because of its high data rate, more immunity to delay spread. In this paper, we proposed probabilistic threshold Selective Mapping Technique which has low PAPR. The simulation result shows that modified technique has better PAPR reduction performance.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
A competent design of 2∶1 multiplexer and its application in 1-bit full adder cell Learning algorithms For intelligent agents based e-learning system Preamble-based timing synchronization for OFDM systems An efficient Self-organizing map learning algorithm with winning frequency of neurons for clustering application Comparison of present-day networking and routing protocols on underwater wireless communication
×
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