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首页> 外文期刊>Advances in Electrical and Computer Engineering >Stochastic Simulation of Integrated Circuits with Nonlinear Black-Box Components via Augmented Deterministic Equivalents
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Stochastic Simulation of Integrated Circuits with Nonlinear Black-Box Components via Augmented Deterministic Equivalents

机译:具有非线性确定性当量的带有非线性黑匣子组件的集成电路的随机模拟

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摘要

This paper extends recent literature results concerning the statistical simulation of circuits affected by random electrical parameters by means of the polynomial chaos framework. With respect to previous implementations, based on the generation and simulation of augmented and deterministic circuit equivalents, the modeling is extended to generic and black-box multi-terminal nonlinear subcircuits describing complex devices, like those found in integrated circuits. Moreover, based on recently-published works in this field, a more effective approach to generate the deterministic circuit equivalents is implemented, thus yielding more compact and efficient models for nonlinear components. The approach is fully compatible with commercial (e.g., SPICE-type) circuit simulators and is thoroughly validated through the statistical analysis of a realistic interconnect structure with a 16-bit memory chip. The accuracy and the comparison against previous approaches are also carefully established.
机译:本文扩展了有关利用多项式混沌框架对受随机电参数影响的电路进行统计仿真的最新文献资料。关于先前的实现,基于增强和确定性电路等效物的生成和仿真,将建模扩展到描述复杂器件的通用和黑匣子多端子非线性子电路,就像在集成电路中发现的那样。此外,基于该领域最近发表的工作,实现了一种更有效的方法来生成确定性电路等效值,从而为非线性组件提供了更加紧凑和有效的模型。该方法与商用(例如SPICE型)电路仿真器完全兼容,并且通过对具有16位存储芯片的实际互连结构的统计分析进行了全面验证。还仔细确定了准确性和与以前方法的比较。

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