盲Volterra系统均衡的迭代多通道方法

A. Redfern, G.T. Zhou
{"title":"盲Volterra系统均衡的迭代多通道方法","authors":"A. Redfern, G.T. Zhou","doi":"10.1109/SPAWC.1999.783065","DOIUrl":null,"url":null,"abstract":"Blind channel equalization is a challenging problem in modern communication systems, where the transmission of a training sequence may not be possible. In this paper a blind multichannel equalizer design procedure is proposed for Volterra (nonlinear) channels. Knowledge of the exact lengths of the system kernels is not necessary, and perfect reconstruction of the input is possible in the noise-free case. Simulations demonstrate the performance of the algorithm on a third-order baseband Volterra system.","PeriodicalId":365086,"journal":{"name":"1999 2nd IEEE Workshop on Signal Processing Advances in Wireless Communications (Cat. No.99EX304)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1999-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"An iterative multichannel method for blind Volterra system equalization\",\"authors\":\"A. Redfern, G.T. Zhou\",\"doi\":\"10.1109/SPAWC.1999.783065\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Blind channel equalization is a challenging problem in modern communication systems, where the transmission of a training sequence may not be possible. In this paper a blind multichannel equalizer design procedure is proposed for Volterra (nonlinear) channels. Knowledge of the exact lengths of the system kernels is not necessary, and perfect reconstruction of the input is possible in the noise-free case. Simulations demonstrate the performance of the algorithm on a third-order baseband Volterra system.\",\"PeriodicalId\":365086,\"journal\":{\"name\":\"1999 2nd IEEE Workshop on Signal Processing Advances in Wireless Communications (Cat. No.99EX304)\",\"volume\":\"22 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1999-05-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"1999 2nd IEEE Workshop on Signal Processing Advances in Wireless Communications (Cat. No.99EX304)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SPAWC.1999.783065\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"1999 2nd IEEE Workshop on Signal Processing Advances in Wireless Communications (Cat. No.99EX304)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SPAWC.1999.783065","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

摘要

盲信道均衡在现代通信系统中是一个具有挑战性的问题,其中训练序列的传输可能是不可能的。针对非线性信道,提出了一种盲多通道均衡器设计方法。不需要知道系统核的确切长度,并且在无噪声的情况下可以完全重建输入。仿真验证了该算法在三阶基带Volterra系统上的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An iterative multichannel method for blind Volterra system equalization
Blind channel equalization is a challenging problem in modern communication systems, where the transmission of a training sequence may not be possible. In this paper a blind multichannel equalizer design procedure is proposed for Volterra (nonlinear) channels. Knowledge of the exact lengths of the system kernels is not necessary, and perfect reconstruction of the input is possible in the noise-free case. Simulations demonstrate the performance of the algorithm on a third-order baseband Volterra system.
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