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Graph-Based Symbolic Technique and Its Application in the Frequency Response Bound Analysis of Analog Integrated Circuits

机译:基于图的符号技术及其在模拟集成电路频率响应界分析中的应用

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摘要

A new graph-based symbolic technique (GBST) for deriving exact analytical expressions like the transfer function H(s) of an analog integrated circuit (IC), is introduced herein. The derived H(s) of a given analog IC is used to compute the frequency response bounds (maximum and minimum) associated to the magnitude and phase of H(s), subject to some ranges of process variational parameters, and by performing nonlinear constrained optimization. Our simulations demonstrate the usefulness of the new GBST for deriving the exact symbolic expression for H(s), and the last section highlights the good agreement between the frequency response bounds computed by our variational analysis approach versus traditional Monte Carlo simulations. As a conclusion, performing variational analysis using our proposed GBST for computing the frequency response bounds of analog ICs, shows a gain in computing time of 100x for a differential circuit topology and 50x for a 3-stage amplifier, compared to traditional Monte Carlo simulations.
机译:本文介绍了一种新的基于图形的符号技术(GBST),用于推导精确的分析表达式,例如模拟集成电路(IC)的传递函数H(s)。给定模拟IC的派生H(s)用于计算与H(s)的大小和相位相关的频率响应范围(最大和最小),并受制于某些过程变化参数范围,并通过执行非线性约束优化。我们的仿真证明了新的GBST用于推导H(s)的精确符号表达式的有用性,最后一部分强调了由我们的变分分析方法计算出的频率响应范围与传统的Monte Carlo仿真之间的良好一致性。总而言之,与传统的蒙特卡洛模拟相比,使用我们提出的GBST进行变分分析以计算模拟IC的频率响应范围时,差分电路拓扑的计算时间增加了300倍,三级放大器的计算时间增加了50倍。

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