非相干OOK接收机非等概率信号的NDA信噪比估计技术

V. Sridharan, N. Kiyani, H. Nikookar, J. V. D. Heuvel, G. Dolmans
{"title":"非相干OOK接收机非等概率信号的NDA信噪比估计技术","authors":"V. Sridharan, N. Kiyani, H. Nikookar, J. V. D. Heuvel, G. Dolmans","doi":"10.1109/ICC.2013.6655477","DOIUrl":null,"url":null,"abstract":"In this paper, non-data aided (NDA) signal-to-noise ratio (SNR) estimation techniques for non-coherent on-off keying (OOK) receivers using non-equiprobable signal transmission is analyzed. Expectation-maximization (EM), M<sub>1</sub>M<sub>2</sub> and M<sub>2</sub>M<sub>3</sub> estimators are investigated. It is shown that the performance of moments based estimators degrade in high SNR region due to bad noise estimates. Moreover, lower moment based estimator, i.e., M<sub>1</sub>M<sub>2</sub> is shown to be inoperable for equiprobable case. EM estimator is investigated and a noise recalibration stage is added for high SNR region. Hybrid estimators, i.e., M<sub>1</sub>M<sub>2</sub>-EM and M<sub>2</sub>M<sub>3</sub> - EM are proposed to cover a wide range of SNR for equiprobable and non-equiprobable signal transmission. The normalized mean square error (NMSE) is evaluated for each estimator. Closed form analytical expressions are derived for each of the estimators and is found to be in good agreement with the simulations.","PeriodicalId":6368,"journal":{"name":"2013 IEEE International Conference on Communications (ICC)","volume":"6 1","pages":"5559-5563"},"PeriodicalIF":0.0000,"publicationDate":"2013-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"NDA SNR estimation techniques for non-equiprobable signaling using non-coherent OOK receivers\",\"authors\":\"V. Sridharan, N. Kiyani, H. Nikookar, J. V. D. Heuvel, G. Dolmans\",\"doi\":\"10.1109/ICC.2013.6655477\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, non-data aided (NDA) signal-to-noise ratio (SNR) estimation techniques for non-coherent on-off keying (OOK) receivers using non-equiprobable signal transmission is analyzed. Expectation-maximization (EM), M<sub>1</sub>M<sub>2</sub> and M<sub>2</sub>M<sub>3</sub> estimators are investigated. It is shown that the performance of moments based estimators degrade in high SNR region due to bad noise estimates. Moreover, lower moment based estimator, i.e., M<sub>1</sub>M<sub>2</sub> is shown to be inoperable for equiprobable case. EM estimator is investigated and a noise recalibration stage is added for high SNR region. Hybrid estimators, i.e., M<sub>1</sub>M<sub>2</sub>-EM and M<sub>2</sub>M<sub>3</sub> - EM are proposed to cover a wide range of SNR for equiprobable and non-equiprobable signal transmission. The normalized mean square error (NMSE) is evaluated for each estimator. Closed form analytical expressions are derived for each of the estimators and is found to be in good agreement with the simulations.\",\"PeriodicalId\":6368,\"journal\":{\"name\":\"2013 IEEE International Conference on Communications (ICC)\",\"volume\":\"6 1\",\"pages\":\"5559-5563\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-06-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 IEEE International Conference on Communications (ICC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICC.2013.6655477\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 IEEE International Conference on Communications (ICC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICC.2013.6655477","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

摘要

本文分析了基于非等概率信号传输的非相干开关键控接收机的非数据辅助(NDA)信噪比估计技术。研究了期望最大化(EM)、M1M2和M2M3估计量。结果表明,在高信噪比区域,由于差的噪声估计,矩估计器的性能会下降。此外,基于低矩的估计器,即M1M2,在等概率情况下是不可操作的。研究了电磁估计器,并在高信噪比区域增加了噪声再校准级。提出了混合估计器,即M1M2-EM和M2M3 -EM,以覆盖广泛的信噪比范围,用于等概率和非等概率信号传输。对每个估计量的归一化均方误差(NMSE)进行了评估。推导出了每个估计量的封闭解析表达式,并与仿真结果很好地吻合。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
NDA SNR estimation techniques for non-equiprobable signaling using non-coherent OOK receivers
In this paper, non-data aided (NDA) signal-to-noise ratio (SNR) estimation techniques for non-coherent on-off keying (OOK) receivers using non-equiprobable signal transmission is analyzed. Expectation-maximization (EM), M1M2 and M2M3 estimators are investigated. It is shown that the performance of moments based estimators degrade in high SNR region due to bad noise estimates. Moreover, lower moment based estimator, i.e., M1M2 is shown to be inoperable for equiprobable case. EM estimator is investigated and a noise recalibration stage is added for high SNR region. Hybrid estimators, i.e., M1M2-EM and M2M3 - EM are proposed to cover a wide range of SNR for equiprobable and non-equiprobable signal transmission. The normalized mean square error (NMSE) is evaluated for each estimator. Closed form analytical expressions are derived for each of the estimators and is found to be in good agreement with the simulations.
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
期刊最新文献
Signature identification techniques with Zadoff-Chu sequence for OFDM systems Double-talk detection using the singular value decomposition for acoustic echo cancellation Dynamic virtual machine allocation in cloud server facility systems with renewable energy sources Approximate channel block diagonalization for open-loop Multiuser MIMO communications A location-based self-optimizing algorithm for the inter-RAT handover parameters
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1