Self-interference cancellation with phase-noise suppression in full-duplex systems

Ruozhu Li, A. Masmoudi, T. Le-Ngoc
{"title":"Self-interference cancellation with phase-noise suppression in full-duplex systems","authors":"Ruozhu Li, A. Masmoudi, T. Le-Ngoc","doi":"10.1109/PIMRC.2015.7343306","DOIUrl":null,"url":null,"abstract":"In this paper, we focus on the self-interference (SI) cancellation in the presence of phase-noise in full-duplex systems. Reducing the SI needs the estimation of the SI channel and the phase-noise. In particular, the time-varying phase-noise process is approximated by an expansion over a basis. As the unknown intended signal received from the other transceiver can limit the estimation performance if considered as additive noise, we incorporate it in the joint estimation of the SI channel, the intended channel and the phase-noise process. The proposed algorithm maximizes the likelihood function by fully exploiting the known transmitted data and the second-order statistic of the intended signal.","PeriodicalId":274734,"journal":{"name":"2015 IEEE 26th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE 26th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PIMRC.2015.7343306","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7

Abstract

In this paper, we focus on the self-interference (SI) cancellation in the presence of phase-noise in full-duplex systems. Reducing the SI needs the estimation of the SI channel and the phase-noise. In particular, the time-varying phase-noise process is approximated by an expansion over a basis. As the unknown intended signal received from the other transceiver can limit the estimation performance if considered as additive noise, we incorporate it in the joint estimation of the SI channel, the intended channel and the phase-noise process. The proposed algorithm maximizes the likelihood function by fully exploiting the known transmitted data and the second-order statistic of the intended signal.
全双工系统中相位噪声抑制的自干扰消除
本文主要研究全双工系统中存在相位噪声时的自干扰对消问题。降低SI需要对SI通道和相位噪声进行估计。特别地,时变相位噪声过程通过在基上展开来近似。由于从另一个收发器接收到的未知预期信号作为加性噪声会限制估计性能,因此我们将其纳入SI通道、预期通道和相位噪声过程的联合估计中。该算法通过充分利用已知的传输数据和预期信号的二阶统计量来最大化似然函数。
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