Independent Component Analysis of the Cyclostationary Signals in the Transmission Line

Y. Kuznetsov, A. Baev, M. Konovalyuk, A. Gorbunova, J. Russer
{"title":"Independent Component Analysis of the Cyclostationary Signals in the Transmission Line","authors":"Y. Kuznetsov, A. Baev, M. Konovalyuk, A. Gorbunova, J. Russer","doi":"10.1109/EMCEurope51680.2022.9901014","DOIUrl":null,"url":null,"abstract":"The blind separation of the cyclostationary signals using a single channel measurement in transmission line is proposed. The waveform identification of the partial pulse responses is evaluated for additively mixed sources of the data, inter-symbol interference and crosstalk. A matrix model of a composed random vectors is considered. The proposed estimation procedure is based on pre-processing using principal component analysis of measured data by digital oscilloscope and following independent component analysis. The component analysis allows diagnostics of signal integrity using eye-diagram patterns in additional dimension of sources and interference.","PeriodicalId":268262,"journal":{"name":"2022 International Symposium on Electromagnetic Compatibility – EMC Europe","volume":"50 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 International Symposium on Electromagnetic Compatibility – EMC Europe","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EMCEurope51680.2022.9901014","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

The blind separation of the cyclostationary signals using a single channel measurement in transmission line is proposed. The waveform identification of the partial pulse responses is evaluated for additively mixed sources of the data, inter-symbol interference and crosstalk. A matrix model of a composed random vectors is considered. The proposed estimation procedure is based on pre-processing using principal component analysis of measured data by digital oscilloscope and following independent component analysis. The component analysis allows diagnostics of signal integrity using eye-diagram patterns in additional dimension of sources and interference.
输电线路中周期平稳信号的独立分量分析
提出了在传输线中采用单通道测量方法对周期平稳信号进行盲分离的方法。对累加性混合信号源、码间干扰和串扰进行了部分脉冲响应的波形识别。考虑了组合随机向量的矩阵模型。所提出的估计程序是基于数字示波器对测量数据进行主成分分析预处理,然后进行独立成分分析。分量分析允许在信号源和干扰的附加维度上使用眼图模式诊断信号完整性。
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