具有接收分集的多用户OFDM的子空间- mmse盲信道估计

Yu-Yi Cheng, Yumin Lee, Hsueh-Jyh Li
{"title":"具有接收分集的多用户OFDM的子空间- mmse盲信道估计","authors":"Yu-Yi Cheng, Yumin Lee, Hsueh-Jyh Li","doi":"10.1109/GLOCOM.2003.1258644","DOIUrl":null,"url":null,"abstract":"A receiver algorithm for OFDM with receiver diversity is proposed. The proposed receiver uses a new two-step blind channel estimation algorithm referred to as the subspace-MMSE channel estimator. Minimum mean square error linear diversity combining is then performed based on the estimated channel. Simulation results show that performance gain of 1-3 dB is achievable by the proposed approach.","PeriodicalId":301154,"journal":{"name":"GLOBECOM '03. IEEE Global Telecommunications Conference (IEEE Cat. No.03CH37489)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2003-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"Subspace-MMSE blind channel estimation for multiuser OFDM with receiver diversity\",\"authors\":\"Yu-Yi Cheng, Yumin Lee, Hsueh-Jyh Li\",\"doi\":\"10.1109/GLOCOM.2003.1258644\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A receiver algorithm for OFDM with receiver diversity is proposed. The proposed receiver uses a new two-step blind channel estimation algorithm referred to as the subspace-MMSE channel estimator. Minimum mean square error linear diversity combining is then performed based on the estimated channel. Simulation results show that performance gain of 1-3 dB is achievable by the proposed approach.\",\"PeriodicalId\":301154,\"journal\":{\"name\":\"GLOBECOM '03. IEEE Global Telecommunications Conference (IEEE Cat. No.03CH37489)\",\"volume\":\"19 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2003-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"GLOBECOM '03. IEEE Global Telecommunications Conference (IEEE Cat. No.03CH37489)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/GLOCOM.2003.1258644\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"GLOBECOM '03. IEEE Global Telecommunications Conference (IEEE Cat. No.03CH37489)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/GLOCOM.2003.1258644","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 8

摘要

提出了一种具有接收机分集的OFDM接收机算法。该接收机采用一种新的两步盲信道估计算法,称为子空间- mmse信道估计器。然后基于估计信道进行最小均方误差线性分集组合。仿真结果表明,该方法可实现1 ~ 3db的性能增益。
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
Subspace-MMSE blind channel estimation for multiuser OFDM with receiver diversity
A receiver algorithm for OFDM with receiver diversity is proposed. The proposed receiver uses a new two-step blind channel estimation algorithm referred to as the subspace-MMSE channel estimator. Minimum mean square error linear diversity combining is then performed based on the estimated channel. Simulation results show that performance gain of 1-3 dB is achievable by the proposed approach.
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
Fast time-varying dispersive channel estimation and equalization for 8-PSK cellular system Service outage based power and rate allocation for parallel fading channels GQR models for directional wireless channels Digital timing recovery for communication systems On the capacity of multi-cell UMTS
×
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