A systematic and physical application of multivariate statistics to MOSFET I-V models

M. Kondo, H. Onodera, K. Tamaru
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引用次数: 4

Abstract

A statistical method applicable to MOSFET compact models for circuit simulation is proposed. A salient feature of the method is that correlation between device parameters is formulated by independent physical parameters which dominate MOSFET characteristics. The key idea is the introduction of an intermediate model. With the use of the intermediate model, physical parameter fluctuations are systematically mapped into the parameters of many device models. As the device parameters are expressed as functions of the independent physical parameters, the worst-case parameters can be accurately derived from the statistical model. The efficiency of the proposed method is shown with experimental results from a 0.3 /spl mu/m CMOS processing technology.
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多变量统计在MOSFET I-V模型中的系统和物理应用
提出了一种适用于MOSFET紧凑模型电路仿真的统计方法。该方法的一个显著特点是,器件参数之间的相关性由支配MOSFET特性的独立物理参数表示。关键思想是引入一个中间模型。通过使用中间模型,物理参数波动被系统地映射到许多器件模型的参数中。由于器件参数表示为独立物理参数的函数,因此可以从统计模型中准确地推导出最坏情况参数。在0.3 /spl μ m CMOS加工工艺上的实验结果表明了该方法的有效性。
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Fault diagnosis of analog integrated circuits using response surface methods TCAD-prototyping with new accurate worst-case definition for a 0.2 micron CMOS-ASIC process Circuit performance variability decomposition Impact of RSF with variable coefficients for CD variation analysis including OPC A systematic and physical application of multivariate statistics to MOSFET I-V models
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