{"title":"Defect Identification in Branched Traces by High-resolution Time-domain Reflectometry","authors":"Y. Shang, M. Shinohara, Eiji Kato, M. Hashimoto","doi":"10.1109/IPFA55383.2022.9915729","DOIUrl":null,"url":null,"abstract":"A quick identification of the defect over a single trace is usually done by a time-domain reflectometry (TDR). However, TDR waveforms might not be comprehended had the defect been hidden in a trace with multiple branches, owing to many reflection points. A high-resolution TDR utilizing electro-optical sampling has not only a superior resolution in the femtosecond level, but also more comprehensible impulse waveform, leading to the opportunity of identifying defect from a complex waveform. TDR waveforms consists of defect dependent reflection (DDR) and defect independent reflection (DIR). Generally, the signal reflected from the trace with a defect, or DDR, is quite simple: a positive pulse is reflected from open (high impedance); a negative pulse is reflected from short (low impedance). The signal reflected from remaining branched traces, or DIR, are more complex, adding disturbance to the DDR and resulting into a hard-to-understand TDR waveform. In this work, the open-short normalization method (OSN) is applied in the high-resolution TDR measurements to identify the defect’s location and the defect’s type of a BUS network with 4 devices.","PeriodicalId":378702,"journal":{"name":"2022 IEEE International Symposium on the Physical and Failure Analysis of Integrated Circuits (IPFA)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE International Symposium on the Physical and Failure Analysis of Integrated Circuits (IPFA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IPFA55383.2022.9915729","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
A quick identification of the defect over a single trace is usually done by a time-domain reflectometry (TDR). However, TDR waveforms might not be comprehended had the defect been hidden in a trace with multiple branches, owing to many reflection points. A high-resolution TDR utilizing electro-optical sampling has not only a superior resolution in the femtosecond level, but also more comprehensible impulse waveform, leading to the opportunity of identifying defect from a complex waveform. TDR waveforms consists of defect dependent reflection (DDR) and defect independent reflection (DIR). Generally, the signal reflected from the trace with a defect, or DDR, is quite simple: a positive pulse is reflected from open (high impedance); a negative pulse is reflected from short (low impedance). The signal reflected from remaining branched traces, or DIR, are more complex, adding disturbance to the DDR and resulting into a hard-to-understand TDR waveform. In this work, the open-short normalization method (OSN) is applied in the high-resolution TDR measurements to identify the defect’s location and the defect’s type of a BUS network with 4 devices.