Smart maximum-likelihood CDMA multiuser detection

S. Fouladi, C. Tellambura
{"title":"Smart maximum-likelihood CDMA multiuser detection","authors":"S. Fouladi, C. Tellambura","doi":"10.1109/PACRIM.2005.1517341","DOIUrl":null,"url":null,"abstract":"A fast-low-complexity maximum-likelihood multiuser detector for code division multiple access systems is proposed. It utilizes a best-first branch and bound approach and a constrained memory search. The memory constraint makes the proposed detector realizable, but has negligible performance loss in low signal-to-noise ratio (SNR) and virtually no performance loss in medium-to-high SNR. The results show that the proposed algorithm is much less complex, and that it executes faster than existing maximum likelihood detectors. In addition, the proposed method is suitable for parallel implementation.","PeriodicalId":346880,"journal":{"name":"PACRIM. 2005 IEEE Pacific Rim Conference on Communications, Computers and signal Processing, 2005.","volume":"32 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2005-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"PACRIM. 2005 IEEE Pacific Rim Conference on Communications, Computers and signal Processing, 2005.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PACRIM.2005.1517341","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

A fast-low-complexity maximum-likelihood multiuser detector for code division multiple access systems is proposed. It utilizes a best-first branch and bound approach and a constrained memory search. The memory constraint makes the proposed detector realizable, but has negligible performance loss in low signal-to-noise ratio (SNR) and virtually no performance loss in medium-to-high SNR. The results show that the proposed algorithm is much less complex, and that it executes faster than existing maximum likelihood detectors. In addition, the proposed method is suitable for parallel implementation.
智能最大似然CDMA多用户检测
针对码分多址系统,提出了一种快速、低复杂度的最大似然多用户检测器。它利用最佳优先分支和定界方法以及受限内存搜索。内存约束使得该检测器可以实现,但在低信噪比(SNR)下性能损失可以忽略不计,在中高信噪比下几乎没有性能损失。结果表明,该算法比现有的最大似然检测器更简单,执行速度更快。此外,该方法适合并行实现。
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 求助全文
来源期刊
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信