中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Identifying Single Event Transients Location based on Compressed Sensing

文献类型:期刊论文

作者Cuiping Shao; Huiyun Li
刊名IEEE TRANSACTIONS ON VERY LARGE SCALE INTEGRATION (VLSI) SYSTEMS
出版日期2017
文献子类期刊论文
英文摘要Single event transients (SETs) have seriously deteriorated the reliability of integrated circuits (ICs), especially for those in mission- or security-critical applications. Detecting and locating SETs can be useful for fault analysis and design enhancement. Traditional methods of location identification of SETs s usually require special sensors embedded into the circuits, or radiation scanning with fine resolutions over the surface for inspection. In this paper, we propose a method of location identification of SETs without sensors or image processing. We formulate location identification of SETs as a compressed sensing problem due to the sparsity and non-coherence observation. The simulation result on a cryptographic IC is demonstrated. The results illustrate that the proposed method has three advantages, compared to traditional SETs test methods: 1) the SETs sensitive area can be accurately identified. 2) The sampling rate is reduced by 64%, therefore the test efficiency is largely enhanced with negligible hardware overhead. 3) The method of location identification of SETs is robust to noise interference.
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语种英语
源URL[http://ir.siat.ac.cn:8080/handle/172644/11582]  
专题深圳先进技术研究院_集成所
作者单位IEEE TRANSACTIONS ON VERY LARGE SCALE INTEGRATION (VLSI) SYSTEMS
推荐引用方式
GB/T 7714
Cuiping Shao,Huiyun Li. Identifying Single Event Transients Location based on Compressed Sensing[J]. IEEE TRANSACTIONS ON VERY LARGE SCALE INTEGRATION (VLSI) SYSTEMS,2017.
APA Cuiping Shao,&Huiyun Li.(2017).Identifying Single Event Transients Location based on Compressed Sensing.IEEE TRANSACTIONS ON VERY LARGE SCALE INTEGRATION (VLSI) SYSTEMS.
MLA Cuiping Shao,et al."Identifying Single Event Transients Location based on Compressed Sensing".IEEE TRANSACTIONS ON VERY LARGE SCALE INTEGRATION (VLSI) SYSTEMS (2017).

入库方式: OAI收割

来源:深圳先进技术研究院

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