Signature identification techniques with Zadoff-Chu sequence for OFDM systems

Kilbom Lee, Joonsuk Kim, Minki Ahn, Inkyu Lee
{"title":"Signature identification techniques with Zadoff-Chu sequence for OFDM systems","authors":"Kilbom Lee, Joonsuk Kim, Minki Ahn, Inkyu Lee","doi":"10.1109/ICC.2013.6655510","DOIUrl":null,"url":null,"abstract":"A signature identification algorithm is a method to obtain the cell identification information for wireless cellular systems or determine the intended user for wireless local area network. In this paper, we propose a simple and efficient signature identification algorithm using Zadoff-Chu sequence in orthogonal frequency division multiplexing systems. To demonstrate efficacy of the proposed algorithm, we derive the probability of signature identification failures for different power delay profiles. From the derived probability, it is shown that the proposed algorithm fully exploits frequency selective fadings. Especially, we reveal that the slope of the failure probability curves is determined by the channel length for equal power fading channels. Simulation results show that the proposed algorithm outperforms conventional signature algorithms in frequency selective fading channels. Also, we confirm that our analysis matches well with the empirical results of the proposed signature identification algorithm.","PeriodicalId":6368,"journal":{"name":"2013 IEEE International Conference on Communications (ICC)","volume":"85 1","pages":"5737-5741"},"PeriodicalIF":0.0000,"publicationDate":"2013-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 IEEE International Conference on Communications (ICC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICC.2013.6655510","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

A signature identification algorithm is a method to obtain the cell identification information for wireless cellular systems or determine the intended user for wireless local area network. In this paper, we propose a simple and efficient signature identification algorithm using Zadoff-Chu sequence in orthogonal frequency division multiplexing systems. To demonstrate efficacy of the proposed algorithm, we derive the probability of signature identification failures for different power delay profiles. From the derived probability, it is shown that the proposed algorithm fully exploits frequency selective fadings. Especially, we reveal that the slope of the failure probability curves is determined by the channel length for equal power fading channels. Simulation results show that the proposed algorithm outperforms conventional signature algorithms in frequency selective fading channels. Also, we confirm that our analysis matches well with the empirical results of the proposed signature identification algorithm.
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
基于Zadoff-Chu序列的OFDM系统签名识别技术
签名识别算法是一种获取无线蜂窝系统的小区识别信息或确定无线局域网的预期用户的方法。在正交频分复用系统中,提出了一种简单有效的Zadoff-Chu序列签名识别算法。为了证明该算法的有效性,我们推导了不同功率延迟情况下签名识别失败的概率。推导出的概率表明,该算法充分利用了频率选择性衰落。特别地,我们发现对于等功率衰落信道,失效概率曲线的斜率由信道长度决定。仿真结果表明,该算法在频率选择性衰落信道下优于传统的签名算法。此外,我们证实了我们的分析与所提出的签名识别算法的经验结果非常吻合。
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
Signature identification techniques with Zadoff-Chu sequence for OFDM systems Double-talk detection using the singular value decomposition for acoustic echo cancellation Dynamic virtual machine allocation in cloud server facility systems with renewable energy sources Approximate channel block diagonalization for open-loop Multiuser MIMO communications A location-based self-optimizing algorithm for the inter-RAT handover parameters
×
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