一种新的软判决反馈盲均衡器去相关算法

V. Krstic, Z. Petrovíc
{"title":"一种新的软判决反馈盲均衡器去相关算法","authors":"V. Krstic, Z. Petrovíc","doi":"10.1109/TELSKS.2005.1572106","DOIUrl":null,"url":null,"abstract":"This paper proposes a new decorrelation algorithm for a soft decision feedback blind equalizer (soft DFE) based on a DFE switching structure model. The algorithm is developed using joint entropy maximization (JEM) framework suitable for introducing a desirable nonlinearity directly into the stochastic gradient algorithm. Simulation results have shown that an efficient decorrelation based on JEM algorithm provides a better convergence rate and switching robustness than the existing hard DFE solution.","PeriodicalId":422115,"journal":{"name":"TELSIKS 2005 - 2005 uth International Conference on Telecommunication in ModernSatellite, Cable and Broadcasting Services","volume":"86 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2005-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A new decorrelation algorithm for a soft decision feedback blind equalizer\",\"authors\":\"V. Krstic, Z. Petrovíc\",\"doi\":\"10.1109/TELSKS.2005.1572106\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper proposes a new decorrelation algorithm for a soft decision feedback blind equalizer (soft DFE) based on a DFE switching structure model. The algorithm is developed using joint entropy maximization (JEM) framework suitable for introducing a desirable nonlinearity directly into the stochastic gradient algorithm. Simulation results have shown that an efficient decorrelation based on JEM algorithm provides a better convergence rate and switching robustness than the existing hard DFE solution.\",\"PeriodicalId\":422115,\"journal\":{\"name\":\"TELSIKS 2005 - 2005 uth International Conference on Telecommunication in ModernSatellite, Cable and Broadcasting Services\",\"volume\":\"86 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2005-09-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"TELSIKS 2005 - 2005 uth International Conference on Telecommunication in ModernSatellite, Cable and Broadcasting Services\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/TELSKS.2005.1572106\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"TELSIKS 2005 - 2005 uth International Conference on Telecommunication in ModernSatellite, Cable and Broadcasting Services","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TELSKS.2005.1572106","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

本文提出了一种基于DFE切换结构模型的软决策反馈盲均衡器(soft DFE)去相关算法。该算法采用联合熵最大化(JEM)框架,适合在随机梯度算法中直接引入理想的非线性。仿真结果表明,与现有硬DFE解相比,基于JEM算法的高效去相关算法具有更好的收敛速度和切换鲁棒性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A new decorrelation algorithm for a soft decision feedback blind equalizer
This paper proposes a new decorrelation algorithm for a soft decision feedback blind equalizer (soft DFE) based on a DFE switching structure model. The algorithm is developed using joint entropy maximization (JEM) framework suitable for introducing a desirable nonlinearity directly into the stochastic gradient algorithm. Simulation results have shown that an efficient decorrelation based on JEM algorithm provides a better convergence rate and switching robustness than the existing hard DFE solution.
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