OFDM信号盲定时同步干扰分析

H. Huh
{"title":"OFDM信号盲定时同步干扰分析","authors":"H. Huh","doi":"10.1109/WTS.2013.6566260","DOIUrl":null,"url":null,"abstract":"For OFDM systems, link performance heavily depends on frequency-offset estimation. Since symbol timing must be done before other synchronization, perfect timing estimate is a prerequisite for the better frequency estimation. As to timing synchronization, minimum interference power (MIP) algorithm can be a good candidate for a non-data-aided timing recovery. In order to use MIP as a metric for timing synchronization, interference should be a function of timing errors and be easily separated from desired signals. In this paper, we propose a MIP algorithm for symbol timing where the extraction of interference components is implemented by oversampling the band-limited received signals and performing discrete Fourier transform (DFT) for the oversampled sequence.","PeriodicalId":441229,"journal":{"name":"2013 Wireless Telecommunications Symposium (WTS)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Interference analysis of OFDM signals for blind timing synchronization\",\"authors\":\"H. Huh\",\"doi\":\"10.1109/WTS.2013.6566260\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"For OFDM systems, link performance heavily depends on frequency-offset estimation. Since symbol timing must be done before other synchronization, perfect timing estimate is a prerequisite for the better frequency estimation. As to timing synchronization, minimum interference power (MIP) algorithm can be a good candidate for a non-data-aided timing recovery. In order to use MIP as a metric for timing synchronization, interference should be a function of timing errors and be easily separated from desired signals. In this paper, we propose a MIP algorithm for symbol timing where the extraction of interference components is implemented by oversampling the band-limited received signals and performing discrete Fourier transform (DFT) for the oversampled sequence.\",\"PeriodicalId\":441229,\"journal\":{\"name\":\"2013 Wireless Telecommunications Symposium (WTS)\",\"volume\":\"42 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-04-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 Wireless Telecommunications Symposium (WTS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WTS.2013.6566260\",\"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 Wireless Telecommunications Symposium (WTS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WTS.2013.6566260","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

对于OFDM系统,链路性能严重依赖于频率偏移估计。由于符号定时必须在其他同步之前完成,因此完美的定时估计是更好的频率估计的先决条件。在定时同步方面,最小干扰功率(MIP)算法可以作为非数据辅助定时恢复的一个很好的候选。为了使用MIP作为定时同步的度量,干扰应该是定时误差的函数,并且很容易从期望的信号中分离出来。在本文中,我们提出了一种用于符号时序的MIP算法,其中通过对带限接收信号进行过采样并对过采样序列进行离散傅里叶变换(DFT)来实现干扰分量的提取。
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
Interference analysis of OFDM signals for blind timing synchronization
For OFDM systems, link performance heavily depends on frequency-offset estimation. Since symbol timing must be done before other synchronization, perfect timing estimate is a prerequisite for the better frequency estimation. As to timing synchronization, minimum interference power (MIP) algorithm can be a good candidate for a non-data-aided timing recovery. In order to use MIP as a metric for timing synchronization, interference should be a function of timing errors and be easily separated from desired signals. In this paper, we propose a MIP algorithm for symbol timing where the extraction of interference components is implemented by oversampling the band-limited received signals and performing discrete Fourier transform (DFT) for the oversampled sequence.
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
OFDMA nonlinear distortion recovery using improved clipping localization and iterative projections On the optimality of network assisted power control for a general class of sigmoid functions The approach of the New Downlink Control Information Design for Transmission Mode 10 Comparison of UWB and NB RF ranging measurements in homogenous tissue for BAN applications Quality of service differentiation measurements in 4G networks
×
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