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Variation- and degradation-aware stochastic behavioral modeling of analog circuit components

机译:模拟电路组件的变异和降解感知随机行为建模

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Process variation and aging effects influence the performances of integrated circuits in modern technology nodes. In this paper, a method is proposed to build a behavioral model to represent the influences of process variation, aging and operational parameters on circuit performances. The variability of performance is represented using distribution functions while Response Surface Models (RSM) are used to describe the dependence of the distribution's moments on operational parameters. Compared to other approaches, less parameters have to be included in the RSM therefore reducing the complexity. This enables a fast Monte-Carlo analysis with aging analysis on a behavioral level. The method is evaluated for a voltage reference circuit and an operational amplifier showing a good representation of the variability and reaching a very good speedup of simulation time.
机译:过程变化和老化效应会影响现代技术节点中集成电路的性能。在本文中,提出了一种方法来构建行为模型,以代表过程变化,老化和操作参数对电路性能的影响。使用分布函数表示性能的可变性,而响应表面模型(RSM)用于描述分布在操作参数上的依赖性。与其他方法相比,必须在RSM中包含较少的参数因此降低了复杂性。这使得能够在行为水平上具有老化分析的快速蒙特卡罗分析。评估该方法的电压参考电路和用于可变性的良好表示的运算放大器,并且达到模拟时间的非常好的加速。

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