{"title":"Detection of Single Event Transients Based on Compressed Sensing","authors":"C. Shao, Huiyun Li","doi":"10.1109/Trustcom/BigDataSE/ICESS.2017.223","DOIUrl":null,"url":null,"abstract":"Single event transients (SETs) have seriously deteriorated the reliability Integrated circuits (ICs), especially for those in mission- or security-critical applications. Detecting and locating SETs can be useful for fault analysis and future enhancement. Traditional SET detecting methods usually require special sensors embedded into the circuits, or radiation scanning with fine resolutions over the surface for inspection. In this paper, we establish the relationship between sparsity of SETs and the overall faults. Then we develop the method of compressed sensing to detect the location of SET in ICs, without any embed sensors or imaging procession. A case study on a cryptographic IC by logic simulation is demonstrated. It verifies that the proposed method has two main advantages: 1) the SET sensitive area can be accurately identified. 2) The sampling rate is reduced by 70%, therefore the test efficiency is largely enhanced with negligible hardware overhead.","PeriodicalId":170253,"journal":{"name":"2017 IEEE Trustcom/BigDataSE/ICESS","volume":"46 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE Trustcom/BigDataSE/ICESS","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/Trustcom/BigDataSE/ICESS.2017.223","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Single event transients (SETs) have seriously deteriorated the reliability Integrated circuits (ICs), especially for those in mission- or security-critical applications. Detecting and locating SETs can be useful for fault analysis and future enhancement. Traditional SET detecting methods usually require special sensors embedded into the circuits, or radiation scanning with fine resolutions over the surface for inspection. In this paper, we establish the relationship between sparsity of SETs and the overall faults. Then we develop the method of compressed sensing to detect the location of SET in ICs, without any embed sensors or imaging procession. A case study on a cryptographic IC by logic simulation is demonstrated. It verifies that the proposed method has two main advantages: 1) the SET sensitive area can be accurately identified. 2) The sampling rate is reduced by 70%, therefore the test efficiency is largely enhanced with negligible hardware overhead.