一种新的WCDMA下行信道盲自适应均衡算法

M. Heikkila
{"title":"一种新的WCDMA下行信道盲自适应均衡算法","authors":"M. Heikkila","doi":"10.1109/PIMRC.2001.965388","DOIUrl":null,"url":null,"abstract":"In the downlink of the wideband code division multiple-access (WCDMA) system users are separated by the means of orthogonal variable spreading factor (OVSF) codes. The orthogonality of the users is lost in multipath channels causing multiple access interference in the system. To suppress the interference in the downlink, it has been proposed to utilize linear channel equalization to partially restore the orthogonality of the users' spreading codes. The well-known LMMSE equalizer, however, may be computationally too involved for practical applications. This is why adaptive solutions am preferred. In this paper, a novel adaptive approach for linear estimation and equalization is presented. Contrary to many other techniques, the applied blind adaptive algorithm can be used without changes also in multi antenna transmission systems, such as space-time coded transmission, and with long scrambling codes. The performance of the new adaptive LMMSE receiver is evaluated in a complete UTRA FDD downlink simulator and is compared to conventional RAKE receiver.","PeriodicalId":318292,"journal":{"name":"12th IEEE International Symposium on Personal, Indoor and Mobile Radio Communications. PIMRC 2001. Proceedings (Cat. No.01TH8598)","volume":"140 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2001-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"A novel blind adaptive algorithm for channel equalization in WCDMA downlink\",\"authors\":\"M. Heikkila\",\"doi\":\"10.1109/PIMRC.2001.965388\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In the downlink of the wideband code division multiple-access (WCDMA) system users are separated by the means of orthogonal variable spreading factor (OVSF) codes. The orthogonality of the users is lost in multipath channels causing multiple access interference in the system. To suppress the interference in the downlink, it has been proposed to utilize linear channel equalization to partially restore the orthogonality of the users' spreading codes. The well-known LMMSE equalizer, however, may be computationally too involved for practical applications. This is why adaptive solutions am preferred. In this paper, a novel adaptive approach for linear estimation and equalization is presented. Contrary to many other techniques, the applied blind adaptive algorithm can be used without changes also in multi antenna transmission systems, such as space-time coded transmission, and with long scrambling codes. The performance of the new adaptive LMMSE receiver is evaluated in a complete UTRA FDD downlink simulator and is compared to conventional RAKE receiver.\",\"PeriodicalId\":318292,\"journal\":{\"name\":\"12th IEEE International Symposium on Personal, Indoor and Mobile Radio Communications. PIMRC 2001. Proceedings (Cat. No.01TH8598)\",\"volume\":\"140 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2001-09-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"12th IEEE International Symposium on Personal, Indoor and Mobile Radio Communications. PIMRC 2001. Proceedings (Cat. No.01TH8598)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PIMRC.2001.965388\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"12th IEEE International Symposium on Personal, Indoor and Mobile Radio Communications. PIMRC 2001. Proceedings (Cat. No.01TH8598)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PIMRC.2001.965388","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7

摘要

在宽带码分多址(WCDMA)系统的下行链路中,采用正交可变扩频因子(OVSF)码对用户进行分离。用户的正交性在多径信道中丢失,造成系统的多址干扰。为了抑制下行链路的干扰,提出了利用线性信道均衡来部分恢复用户扩频码的正交性。然而,对于实际应用来说,众所周知的LMMSE均衡器在计算上可能过于复杂。这就是为什么我更喜欢自适应解决方案。本文提出了一种新的自适应线性估计和均衡化方法。与许多其他技术不同的是,所应用的盲自适应算法也可以在多天线传输系统中使用,如空时编码传输和长置乱码。在完整的UTRA FDD下行模拟器中对新型自适应LMMSE接收机的性能进行了评估,并与传统的RAKE接收机进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A novel blind adaptive algorithm for channel equalization in WCDMA downlink
In the downlink of the wideband code division multiple-access (WCDMA) system users are separated by the means of orthogonal variable spreading factor (OVSF) codes. The orthogonality of the users is lost in multipath channels causing multiple access interference in the system. To suppress the interference in the downlink, it has been proposed to utilize linear channel equalization to partially restore the orthogonality of the users' spreading codes. The well-known LMMSE equalizer, however, may be computationally too involved for practical applications. This is why adaptive solutions am preferred. In this paper, a novel adaptive approach for linear estimation and equalization is presented. Contrary to many other techniques, the applied blind adaptive algorithm can be used without changes also in multi antenna transmission systems, such as space-time coded transmission, and with long scrambling codes. The performance of the new adaptive LMMSE receiver is evaluated in a complete UTRA FDD downlink simulator and is compared to conventional RAKE receiver.
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
×
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