A fast constant modulus algorithm for blind equalization

S. Nelatury, Sathyanarayan S. Rao
{"title":"A fast constant modulus algorithm for blind equalization","authors":"S. Nelatury, Sathyanarayan S. Rao","doi":"10.1109/ACSSC.2000.910666","DOIUrl":null,"url":null,"abstract":"The constant modulus (CM) criterion coupled with a gradient search helps in the design of fractionally spaced equalizers. Effective implementation of CM algorithm requires proper choice of the scale factor /spl mu/ called the step size and initialization of equalizer coefficients. Experience reveals that these two determine the convergence rate and final misadjustment. Recently Brown et al. proposed a computationally efficient algorithm, which is a signed error version of CMA. This paper proposes yet another variation of the same and reports faster convergence. The idea is to use variable step size, which increases the convergence rate.","PeriodicalId":10581,"journal":{"name":"Conference Record of the Thirty-Fourth Asilomar Conference on Signals, Systems and Computers (Cat. No.00CH37154)","volume":"52 1","pages":"1010-1013 vol.2"},"PeriodicalIF":0.0000,"publicationDate":"2000-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Conference Record of the Thirty-Fourth Asilomar Conference on Signals, Systems and Computers (Cat. No.00CH37154)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ACSSC.2000.910666","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

The constant modulus (CM) criterion coupled with a gradient search helps in the design of fractionally spaced equalizers. Effective implementation of CM algorithm requires proper choice of the scale factor /spl mu/ called the step size and initialization of equalizer coefficients. Experience reveals that these two determine the convergence rate and final misadjustment. Recently Brown et al. proposed a computationally efficient algorithm, which is a signed error version of CMA. This paper proposes yet another variation of the same and reports faster convergence. The idea is to use variable step size, which increases the convergence rate.
一种快速恒模盲均衡算法
常模数(CM)准则与梯度搜索相结合有助于分数间隔均衡器的设计。CM算法的有效实现需要适当选择尺度因子/spl mu/称为步长和初始化均衡器系数。经验表明,这两个因素决定了收敛速度和最终的失调。最近Brown等人提出了一种计算效率很高的算法,它是CMA的签名错误版本。本文提出了相同的另一种变体,并报告了更快的收敛速度。这个想法是使用可变步长,这增加了收敛速度。
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