Fast analysis of the impact of interconnect routing variability on signal degradation

J. Ochoa, A. Cangellaris
{"title":"Fast analysis of the impact of interconnect routing variability on signal degradation","authors":"J. Ochoa, A. Cangellaris","doi":"10.1109/EPEPS.2012.6457905","DOIUrl":null,"url":null,"abstract":"A computer model is proposed for the fast predictive analysis of the impact of interconnect routing variability on their broadband signal transmission properties. Through the use of a multi-conductor transmission line model of the interconnect structure and rational function interpolation in the frequency domain, the proposed model propagates routing variability described in terms of a set of properly defined random variables to broadband, stochastic scattering parameters for the transmission channel. In this manner, an efficient Monte Carlo analysis can be performed for the prediction of the statistics of the transient response of the channel due to routing uncertainty.","PeriodicalId":188377,"journal":{"name":"2012 IEEE 21st Conference on Electrical Performance of Electronic Packaging and Systems","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 IEEE 21st Conference on Electrical Performance of Electronic Packaging and Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EPEPS.2012.6457905","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6

Abstract

A computer model is proposed for the fast predictive analysis of the impact of interconnect routing variability on their broadband signal transmission properties. Through the use of a multi-conductor transmission line model of the interconnect structure and rational function interpolation in the frequency domain, the proposed model propagates routing variability described in terms of a set of properly defined random variables to broadband, stochastic scattering parameters for the transmission channel. In this manner, an efficient Monte Carlo analysis can be performed for the prediction of the statistics of the transient response of the channel due to routing uncertainty.
互连路由变化对信号退化影响的快速分析
提出了一种快速预测分析互连路由变化对其宽带信号传输特性影响的计算机模型。通过使用互连结构的多导体传输线模型和频域的有理函数插值,该模型将一组适当定义的随机变量描述的路由可变性传播到传输信道的宽带随机散射参数中。通过这种方式,可以进行有效的蒙特卡罗分析,以预测由于路由不确定性引起的信道瞬态响应的统计量。
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