Co-channel interference cancellation technique using orthogonal convolutional codes

Y. Sanada, Qiang Wang
{"title":"Co-channel interference cancellation technique using orthogonal convolutional codes","authors":"Y. Sanada, Qiang Wang","doi":"10.1109/ISSSTA.1994.379600","DOIUrl":null,"url":null,"abstract":"This paper proposes a new co-channel interference cancellation technique which utilizes orthogonal convolutional codes. For spread spectrum multiple access, co-channel interference (CCI) limits the performance of a communication link. To remove this interference, several CCI cancellation techniques have been proposed. Especially techniques which do not require the receiver to have knowledge of the cross-correlation between user sequences have been presented. However, these methods leave residual interference after the cancellation caused by errors on the initial decision. To reduce the residual interference and improve the initial decision, the proposed scheme utilizes the error correcting capability of the orthogonal convolutional code. This paper evaluates the performance of this scheme. It is shown that up to about 40 users, the proposed CCI canceller has a performance which is near the optimum performance when multiuser interference is completely canceled. It is also shown that the proposed CCI canceller offers an improvement in capacity by a factor of 1.5/spl sim/3 as compared with a conventional canceller.<<ETX>>","PeriodicalId":158358,"journal":{"name":"Proceedings of IEEE 3rd International Symposium on Spread Spectrum Techniques and Applications (ISSSTA'94)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1994-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of IEEE 3rd International Symposium on Spread Spectrum Techniques and Applications (ISSSTA'94)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISSSTA.1994.379600","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4

Abstract

This paper proposes a new co-channel interference cancellation technique which utilizes orthogonal convolutional codes. For spread spectrum multiple access, co-channel interference (CCI) limits the performance of a communication link. To remove this interference, several CCI cancellation techniques have been proposed. Especially techniques which do not require the receiver to have knowledge of the cross-correlation between user sequences have been presented. However, these methods leave residual interference after the cancellation caused by errors on the initial decision. To reduce the residual interference and improve the initial decision, the proposed scheme utilizes the error correcting capability of the orthogonal convolutional code. This paper evaluates the performance of this scheme. It is shown that up to about 40 users, the proposed CCI canceller has a performance which is near the optimum performance when multiuser interference is completely canceled. It is also shown that the proposed CCI canceller offers an improvement in capacity by a factor of 1.5/spl sim/3 as compared with a conventional canceller.<>
使用正交卷积码的同信道干扰消除技术
本文提出了一种利用正交卷积码的同信道干扰消除技术。对于扩频多址,同信道干扰(CCI)限制了通信链路的性能。为了消除这种干扰,已经提出了几种CCI消除技术。特别是不需要接收者知道用户序列之间相互关系的技术已经被提出。然而,这些方法在初始决策误差引起的消去后会留下残余干扰。该方案利用正交卷积码的纠错能力,减少残差干扰,提高初始判决。本文对该方案的性能进行了评价。结果表明,在40个用户左右时,所提出的CCI消除器的性能接近于完全消除多用户干扰时的最佳性能。研究还表明,与传统的CCI消除器相比,所提出的CCI消除器的容量提高了1.5/spl sim/3。
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:481959085
Book学术官方微信