OFDM系统中噪声功率和信噪比的前端估计

R. S. Manzoor, W. Majavu, V. Jeoti, N. Kamel, M. Asif
{"title":"OFDM系统中噪声功率和信噪比的前端估计","authors":"R. S. Manzoor, W. Majavu, V. Jeoti, N. Kamel, M. Asif","doi":"10.1109/ICIAS.2007.4658424","DOIUrl":null,"url":null,"abstract":"In this paper a front-end noise power and SNR estimation method based on one OFDM preamble is proposed and compared with previously published SNR estimators - none of which are front-end estimator. The estimator makes use of two identical halves property of time synchronization preamble used in OFDM systems and relies on autocorrelation of the same. The current estimator is compared with two existing SNR estimators, the Reddy estimator and Subspace based estimator in terms of normalized mean square error (NMSE) and estimated SNR. It is observed that current estimator gives SNR estimates better than Reddy and subspace estimators. The estimator performs SNR estimation at front-end of the receiver unlike all other estimators which perform SNR estimation at back-end of the receiver.","PeriodicalId":228083,"journal":{"name":"2007 International Conference on Intelligent and Advanced Systems","volume":"74 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"22","resultStr":"{\"title\":\"Front-end estimation of Noise Power and SNR in OFDM systems\",\"authors\":\"R. S. Manzoor, W. Majavu, V. Jeoti, N. Kamel, M. Asif\",\"doi\":\"10.1109/ICIAS.2007.4658424\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper a front-end noise power and SNR estimation method based on one OFDM preamble is proposed and compared with previously published SNR estimators - none of which are front-end estimator. The estimator makes use of two identical halves property of time synchronization preamble used in OFDM systems and relies on autocorrelation of the same. The current estimator is compared with two existing SNR estimators, the Reddy estimator and Subspace based estimator in terms of normalized mean square error (NMSE) and estimated SNR. It is observed that current estimator gives SNR estimates better than Reddy and subspace estimators. The estimator performs SNR estimation at front-end of the receiver unlike all other estimators which perform SNR estimation at back-end of the receiver.\",\"PeriodicalId\":228083,\"journal\":{\"name\":\"2007 International Conference on Intelligent and Advanced Systems\",\"volume\":\"74 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"22\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2007 International Conference on Intelligent and Advanced Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICIAS.2007.4658424\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 International Conference on Intelligent and Advanced Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIAS.2007.4658424","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 22

摘要

本文提出了一种基于一个OFDM序数的前端噪声功率和信噪比估计方法,并与已有的非前端估计的信噪比估计方法进行了比较。该估计器利用了OFDM系统中时间同步前导的两同半特性,并依赖于前导的自相关。在归一化均方误差(NMSE)和估计信噪比方面,将当前估计器与现有的两种信噪比估计器Reddy估计器和基于子空间的估计器进行了比较。观察到当前估计器比Reddy估计器和子空间估计器给出了更好的信噪比估计。估计器在接收器前端执行信噪比估计,不像所有其他估计器在接收器后端执行信噪比估计。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Front-end estimation of Noise Power and SNR in OFDM systems
In this paper a front-end noise power and SNR estimation method based on one OFDM preamble is proposed and compared with previously published SNR estimators - none of which are front-end estimator. The estimator makes use of two identical halves property of time synchronization preamble used in OFDM systems and relies on autocorrelation of the same. The current estimator is compared with two existing SNR estimators, the Reddy estimator and Subspace based estimator in terms of normalized mean square error (NMSE) and estimated SNR. It is observed that current estimator gives SNR estimates better than Reddy and subspace estimators. The estimator performs SNR estimation at front-end of the receiver unlike all other estimators which perform SNR estimation at back-end of the receiver.
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:604180095
Book学术官方微信