基于高分辨率时域反射法的分支轨迹缺陷快速识别开短归一化方法

Y. Shang, M. Shinohara, Eiji Kato, M. Hashimoto, J. Kiljan
{"title":"基于高分辨率时域反射法的分支轨迹缺陷快速识别开短归一化方法","authors":"Y. Shang, M. Shinohara, Eiji Kato, M. Hashimoto, J. Kiljan","doi":"10.1109/ITC50571.2021.00032","DOIUrl":null,"url":null,"abstract":"Time-domain reflectometry (TDR) that employs electro-optical sampling affords excellent resolution at the femtosecond level and exhibits a comprehensible impulse waveform, thereby allowing quick defect identification in a single trace. However, it remains challenging to identify a defect in a trace of multiple branches; the TDR waveform is complex. Generally, the TDR waveform of a defective unit features defect-dependent reflection (DDR) and defect-independent reflection (DIR). DDR is contributed by a branch with the defect; DIR is contributed by the remaining good branches. The DDR (not the DIR) is required to analyze the defect; however, the DIR tends to overwhelm the waveform, rendering interpretation difficult. In this work, we use an open-short normalization (OSN) method to eliminate the DIR. The resulting DDR immediately identifies the defect location and type. The OSN method was verified using both simulation and measurements.","PeriodicalId":147006,"journal":{"name":"2021 IEEE International Test Conference (ITC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Open-short Normalization Method for a Quick Defect Identification in Branched Traces with High-resolution Time-domain Reflectometry\",\"authors\":\"Y. Shang, M. Shinohara, Eiji Kato, M. Hashimoto, J. Kiljan\",\"doi\":\"10.1109/ITC50571.2021.00032\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Time-domain reflectometry (TDR) that employs electro-optical sampling affords excellent resolution at the femtosecond level and exhibits a comprehensible impulse waveform, thereby allowing quick defect identification in a single trace. However, it remains challenging to identify a defect in a trace of multiple branches; the TDR waveform is complex. Generally, the TDR waveform of a defective unit features defect-dependent reflection (DDR) and defect-independent reflection (DIR). DDR is contributed by a branch with the defect; DIR is contributed by the remaining good branches. The DDR (not the DIR) is required to analyze the defect; however, the DIR tends to overwhelm the waveform, rendering interpretation difficult. In this work, we use an open-short normalization (OSN) method to eliminate the DIR. The resulting DDR immediately identifies the defect location and type. The OSN method was verified using both simulation and measurements.\",\"PeriodicalId\":147006,\"journal\":{\"name\":\"2021 IEEE International Test Conference (ITC)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 IEEE International Test Conference (ITC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ITC50571.2021.00032\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE International Test Conference (ITC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ITC50571.2021.00032","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

时域反射计(TDR)采用电光采样,在飞秒级提供出色的分辨率,并显示出可理解的脉冲波形,从而允许在单个轨迹中快速识别缺陷。然而,在多个分支的跟踪中识别缺陷仍然具有挑战性;TDR波形很复杂。一般来说,缺陷单元的TDR波形具有缺陷依赖反射(DDR)和缺陷独立反射(DIR)两种特征。DDR是由有缺陷的分支贡献的;DIR由剩余的优秀分支提供。需要DDR(而不是DIR)来分析缺陷;然而,DIR往往会压倒波形,使解释变得困难。在这项工作中,我们使用开短归一化(OSN)方法来消除DIR。产生的DDR立即识别缺陷的位置和类型。通过仿真和实测验证了OSN方法的正确性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Open-short Normalization Method for a Quick Defect Identification in Branched Traces with High-resolution Time-domain Reflectometry
Time-domain reflectometry (TDR) that employs electro-optical sampling affords excellent resolution at the femtosecond level and exhibits a comprehensible impulse waveform, thereby allowing quick defect identification in a single trace. However, it remains challenging to identify a defect in a trace of multiple branches; the TDR waveform is complex. Generally, the TDR waveform of a defective unit features defect-dependent reflection (DDR) and defect-independent reflection (DIR). DDR is contributed by a branch with the defect; DIR is contributed by the remaining good branches. The DDR (not the DIR) is required to analyze the defect; however, the DIR tends to overwhelm the waveform, rendering interpretation difficult. In this work, we use an open-short normalization (OSN) method to eliminate the DIR. The resulting DDR immediately identifies the defect location and type. The OSN method was verified using both simulation and measurements.
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