没有信息?低于阈值信噪比的延迟估计

R.D. Weaver
{"title":"没有信息?低于阈值信噪比的延迟估计","authors":"R.D. Weaver","doi":"10.1109/ACSSC.2005.1599930","DOIUrl":null,"url":null,"abstract":"This paper questions the appropriateness of the mean squared error (MSE) as dominant performance metric for the maximum-likelihood delay estimator. The departure of the MSE from the Crambound is seen as an incidental effect, whereas knowledge of the frequencies of nominal estimates versus outliers leads to better statistics. Simulations are used to evaluate an alternative scheme for robust acquisition of signal delay, based upon binning statistics. This scheme converges on the correct estimate at signal-to-noise ratios that are well below the MSE threshold and into the \"no information\" region. I. INTRODUCTION","PeriodicalId":326489,"journal":{"name":"Conference Record of the Thirty-Ninth Asilomar Conference onSignals, Systems and Computers, 2005.","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"No Information? Delay Estimation Below the Threshold SNR\",\"authors\":\"R.D. Weaver\",\"doi\":\"10.1109/ACSSC.2005.1599930\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper questions the appropriateness of the mean squared error (MSE) as dominant performance metric for the maximum-likelihood delay estimator. The departure of the MSE from the Crambound is seen as an incidental effect, whereas knowledge of the frequencies of nominal estimates versus outliers leads to better statistics. Simulations are used to evaluate an alternative scheme for robust acquisition of signal delay, based upon binning statistics. This scheme converges on the correct estimate at signal-to-noise ratios that are well below the MSE threshold and into the \\\"no information\\\" region. I. INTRODUCTION\",\"PeriodicalId\":326489,\"journal\":{\"name\":\"Conference Record of the Thirty-Ninth Asilomar Conference onSignals, Systems and Computers, 2005.\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Conference Record of the Thirty-Ninth Asilomar Conference onSignals, Systems and Computers, 2005.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ACSSC.2005.1599930\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Conference Record of the Thirty-Ninth Asilomar Conference onSignals, Systems and Computers, 2005.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ACSSC.2005.1599930","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

本文对均方误差(MSE)作为最大似然延迟估计的主要性能度量的适用性提出了质疑。MSE偏离Crambound被视为偶然效应,而对名义估计与异常值的频率的了解导致更好的统计。仿真用于评估基于分组统计的信号延迟鲁棒采集的替代方案。该方案在信噪比远低于MSE阈值时收敛于正确的估计,并进入“无信息”区域。我的介绍。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
No Information? Delay Estimation Below the Threshold SNR
This paper questions the appropriateness of the mean squared error (MSE) as dominant performance metric for the maximum-likelihood delay estimator. The departure of the MSE from the Crambound is seen as an incidental effect, whereas knowledge of the frequencies of nominal estimates versus outliers leads to better statistics. Simulations are used to evaluate an alternative scheme for robust acquisition of signal delay, based upon binning statistics. This scheme converges on the correct estimate at signal-to-noise ratios that are well below the MSE threshold and into the "no information" region. I. INTRODUCTION
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