Iterative Phase-Based Frequency Estimation with Extended Threshold and Estimation Range at Moderate Complexity

I. Perisa, J. Lindner
{"title":"Iterative Phase-Based Frequency Estimation with Extended Threshold and Estimation Range at Moderate Complexity","authors":"I. Perisa, J. Lindner","doi":"10.1109/SPAWC.2006.346347","DOIUrl":null,"url":null,"abstract":"In previous works, many efficient phase-based estimators with small computational complexity have been proposed. Most of them suffer from a very high threshold - i.e. below a certain signal-to-noise ratio (SNR) the estimator variance increases rapidly. Most of the approaches that improve the threshold are quite complex or have a limited estimation range. In a previous paper it was shown that iterative frequency offset estimation schemes can achieve a low threshold at a moderate complexity. Here we show how they can be combined with different estimators to achieve a faster convergence rate. This enables the construction of estimators that can easily be adapted to different requirements concerning estimation range, performance, and complexity","PeriodicalId":414942,"journal":{"name":"2006 IEEE 7th Workshop on Signal Processing Advances in Wireless Communications","volume":"66 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2006 IEEE 7th Workshop on Signal Processing Advances in Wireless Communications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SPAWC.2006.346347","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

In previous works, many efficient phase-based estimators with small computational complexity have been proposed. Most of them suffer from a very high threshold - i.e. below a certain signal-to-noise ratio (SNR) the estimator variance increases rapidly. Most of the approaches that improve the threshold are quite complex or have a limited estimation range. In a previous paper it was shown that iterative frequency offset estimation schemes can achieve a low threshold at a moderate complexity. Here we show how they can be combined with different estimators to achieve a faster convergence rate. This enables the construction of estimators that can easily be adapted to different requirements concerning estimation range, performance, and complexity
中等复杂度下基于迭代相位的扩展阈值和估计范围频率估计
在以前的工作中,已经提出了许多计算复杂度小的高效相位估计器。它们中的大多数都有一个非常高的阈值——即低于一定的信噪比(SNR),估计器方差会迅速增加。大多数提高阈值的方法都相当复杂,或者估计范围有限。在之前的一篇论文中,已经证明迭代频偏估计方案可以在中等复杂度下实现低阈值。在这里,我们展示了如何将它们与不同的估计器组合以实现更快的收敛速度。这使得估算器的构造可以很容易地适应有关估算范围、性能和复杂性的不同需求
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