Reduced complexity blind channel estimation for adaptive constrained minimum variance receivers in MC-CDMA systems

C. Medina, T. Vinhoza, R. Sampaio-Neto
{"title":"Reduced complexity blind channel estimation for adaptive constrained minimum variance receivers in MC-CDMA systems","authors":"C. Medina, T. Vinhoza, R. Sampaio-Neto","doi":"10.1109/SPAWC.2008.4641661","DOIUrl":null,"url":null,"abstract":"In this paper we propose a blind adaptive channel estimator for multicarrier CDMA systems. The proposed algorithm is derived from the stochastic gradient solution for the linearly constrained minimum variance detector and it is shown to present lower computational complexity when compared to a well-known solution. It is shown through computer simulations that both the channel estimation and receiver filter achieve a slightly better performance than previously proposed methods.","PeriodicalId":197154,"journal":{"name":"2008 IEEE 9th Workshop on Signal Processing Advances in Wireless Communications","volume":"34 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 IEEE 9th Workshop on Signal Processing Advances in Wireless Communications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SPAWC.2008.4641661","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

In this paper we propose a blind adaptive channel estimator for multicarrier CDMA systems. The proposed algorithm is derived from the stochastic gradient solution for the linearly constrained minimum variance detector and it is shown to present lower computational complexity when compared to a well-known solution. It is shown through computer simulations that both the channel estimation and receiver filter achieve a slightly better performance than previously proposed methods.
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
MC-CDMA系统中自适应约束最小方差接收机的低复杂度盲信道估计
提出了一种适用于多载波CDMA系统的盲自适应信道估计器。该算法由线性约束最小方差检测器的随机梯度解推导而来,与已知的解相比,它具有较低的计算复杂度。通过计算机仿真表明,信道估计和接收机滤波器的性能都比以前提出的方法稍好。
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
Asymptotically optimal block-based transceivers with reduced redundancy Coding strategies for CDMA packet data networks with reduced rank multiuser detection, ARQ and Packet Combining Biorthogonal pulse shape modulation for IR-UWB systems over fading channels Blind estimation of nonlinear instantaneous channels in multiuser CDMA systems with PSK inputs Channel estimation in MIMO OFDM/OQAM
×
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