Design Automation of CMOS Op-Amps Using Statistical Geometric Programming
Design Automation of CMOS Op-Amps Using Statistical Geometric Programming
复制标题
DOI：
10.1109/iscas48785.2022.9937871
复制
发表时间：
2022-05
期刊：
影响因子：
--
通讯作者：
Sangjukta R. Chowdhury;Sumit Bhardwaj;J. Kitchen
中科院分区：
文献类型：
--
作者：
Sangjukta R. Chowdhury;Sumit Bhardwaj;J. Kitchen
这项工作提出了一种新颖的设计自动化（DA）技术，该技术使用多元回归与几何规划（GP）相结合的多方面方法来设计模拟电路。以前采用 GP 的 DA 方法通常使用代表模拟电路的各种设计方程的分析推导。所提出的DA方法消除了分析推导的需要，通过使用仿真数据和多元回归生成统计模型并结合GP来求解关于最佳电路设计参数的统计表达式。所提出的统计GP方法已应用于成功设计台积电65nm CMOS技术中的五晶体管两级运算放大器和折叠共源共栅放大器。所提供的统计 GP DA 结果与经验丰富的模拟设计工程师从分析 GP 和手动设计获得的设计结果相当。
This work proposes a novel design automation (DA) technique that uses a multifaceted approach combining Multivariate Regression with Geometric Programming (GP) to design analog circuits. Previous DA methods employing GP have typically used analytical derivations of the various design equations representing an analog circuit. The proposed DA method eliminates the need for analytical derivations by using simulation data and multivariate regression to generate statistical models combined with GP to solve these statistical expressions with respect to optimum circuit design parameters. This presented statistical GP method has been applied to successfully design a five-transistor two-stage operational amplifier and a folded cascode amplifier in a TSMC 65nm CMOS technology. The presented statistical GP DA results are comparable to the design results obtained from both analytical GP and manual design by an experienced analog design engineer.