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组合逻辑电路中的软错误(Soft Error)生成模型的分析
引用本文:丁潜,汪玉,罗嵘,汪蕙,杨华中.组合逻辑电路中的软错误(Soft Error)生成模型的分析[J].半导体学报,2010,31(9):095015-6.
作者姓名:丁潜  汪玉  罗嵘  汪蕙  杨华中
基金项目:supported by the National Key Technological Program of China(No.2008ZX01035-001); the National Natural Science Foundation of China(No.60870001); the TNList Cross-discipline Foundation China
摘    要:在深亚微米集成电路设计领域,电路可靠性问题日益严重。这个问题的一个重要方面是组合逻辑电路的软错误。现有的关于软错误率的分析和模型表明电压脉冲宽度对电气掩蔽(Electrical Masking)以及锁存窗掩蔽(Latch Window Masking)两种效应都有很大的影响。电压脉冲的宽度通过影响这两种效应进而决定了电路的软错误率。但是这些分析和模型在这个问题上不够深入。在这篇文章中,我们首次提出一个脉冲生成的解析模型。这个模型表明,越过一个拐点后,电路中由射线粒子注入的电荷量同电压脉冲宽度之间存在指数关系。这个模型的平均误差约为2.6%。这个模型还揭示了逻辑门延时与软错误率之间的折中关系。这个关系是最近的一篇有关组合逻辑电路软错误率降低方法的论文的基础19]。

关 键 词:组合逻辑电路  可靠性问题  集成电路设计  屏蔽作用  误码率分析  深亚微米  软错误率  指数关系

Soft error generation analysis in combinational logic circuits
Ding Qian,Wang Yu,Luo Rong,Wang Hui and Yang Huazhong.Soft error generation analysis in combinational logic circuits[J].Chinese Journal of Semiconductors,2010,31(9):095015-6.
Authors:Ding Qian  Wang Yu  Luo Rong  Wang Hui and Yang Huazhong
Affiliation:Department of Electronic Engineering, TNList, Tsinghua University, Beijing 100084, China;Department of Electronic Engineering, TNList, Tsinghua University, Beijing 100084, China;Department of Electronic Engineering, TNList, Tsinghua University, Beijing 100084, China;Department of Electronic Engineering, TNList, Tsinghua University, Beijing 100084, China;Department of Electronic Engineering, TNList, Tsinghua University, Beijing 100084, China
Abstract:Reliability is expected to become a big concern in future deep sub-micron integrated circuits design. Soft error rate (SER) of combinational logic is considered to be a great reliability problem. Previous SER analysis and models indicated that glitch width has a great impact on electrical masking and latch window masking effects, but they failed to achieve enough insights. In this paper, an analytical glitch generation model is proposed. This model shows that after an inflexion point the collected charge has an exponential relationship with glitch duration and the model only introduces an estimation error of on average 2.5%.
Keywords:soft error  glitch generation  analytical model
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