GMRES Interference Canceler for doubly iterative MIMO system with a Large Number of Antennas

A. Abdaoui, Marion Berbineau, H. Snoussi
{"title":"GMRES Interference Canceler for doubly iterative MIMO system with a Large Number of Antennas","authors":"A. Abdaoui, Marion Berbineau, H. Snoussi","doi":"10.1109/ISSPIT.2007.4458142","DOIUrl":null,"url":null,"abstract":"In this paper, we propose a reduced complexity interference canceler for a Turbo Space-Time Codes (TSTC) receiver. Actually, the TSTC receiver is based on a linear Minimum Mean Squared Error (MMSE) filter inside an Interference Canceler (IC) loop. In this scheme, considering the matrix inversion cost, the overall complexity remains important for a large number of transmit and receive antennas. In the proposed receiver, we integrate the Generalized Minimum residual method (GMRES) for symbol detection to compute the MMSE filter without matrix inversion. A good tradeoff between performances and complexity is thus achieved for a system with a large number of transmit and receive antennas. The bit error ratio (BER) and the complexity are evaluated with respect to the number of iterations of the GMRES and the number of transmit/receive antennas. A comparison with the existent IC-MMSE is presented and discussed at the end of the paper.","PeriodicalId":299267,"journal":{"name":"2007 IEEE International Symposium on Signal Processing and Information Technology","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 IEEE International Symposium on Signal Processing and Information Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISSPIT.2007.4458142","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5

Abstract

In this paper, we propose a reduced complexity interference canceler for a Turbo Space-Time Codes (TSTC) receiver. Actually, the TSTC receiver is based on a linear Minimum Mean Squared Error (MMSE) filter inside an Interference Canceler (IC) loop. In this scheme, considering the matrix inversion cost, the overall complexity remains important for a large number of transmit and receive antennas. In the proposed receiver, we integrate the Generalized Minimum residual method (GMRES) for symbol detection to compute the MMSE filter without matrix inversion. A good tradeoff between performances and complexity is thus achieved for a system with a large number of transmit and receive antennas. The bit error ratio (BER) and the complexity are evaluated with respect to the number of iterations of the GMRES and the number of transmit/receive antennas. A comparison with the existent IC-MMSE is presented and discussed at the end of the paper.
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
多天线双迭代MIMO系统的GMRES干扰消除
本文提出了一种用于Turbo空时码(TSTC)接收机的低复杂度干扰消除器。实际上,TSTC接收机是基于一个线性最小均方误差(MMSE)滤波器内部的干扰抵消(IC)回路。在该方案中,考虑到矩阵反演成本,对于大量的发射和接收天线,总体复杂度仍然是重要的。在该接收机中,我们集成了用于符号检测的广义最小残差法(GMRES)来计算不需要矩阵反演的MMSE滤波器。因此,对于具有大量发射和接收天线的系统,可以实现性能和复杂性之间的良好权衡。误码率(BER)和复杂度与GMRES的迭代次数和发射/接收天线的数量有关。最后对现有的IC-MMSE进行了比较和讨论。
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
Distribution of a Stochastic Control Algorithm Applied to Gas Storage Valuation Efficient Synthesis of Arbitrary Viewpoint Images Using 3-D Geometric Model and Mesh-Based Specular Reflection Tracing Relative Iris Codes Towards Evaluation of Phonics Method for Teaching of Reading Using Artificial Neural Networks (A Cognitive Modeling Approach) A concept of mathematical methods for the optimization of the post-processing of nuclear resonance spectra of the human skeletal musculature
×
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