Yield optimization for low power current controlled current conveyor

Zia Abbas, M. Yakupov, M. Olivieri, A. Ripp, G. Strube
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引用次数: 7

Abstract

Due to increasing CMOS process variability, optimization for yield has become one of the crucial tasks in Integrated Circuit (IC) design especially in analog IC design. This variability is getting worse with the continuous scaling of device dimensions and therefore degrades the IC fabrication outcome. This paper presents the yield optimization for low power second generation dual output current controlled current conveyor (DOCCCII). Current conveyors (CC) are getting significant attention in current analog ICs design due to their higher band-width, greater linearity, larger dynamic range, simpler circuitry, lower power consumption and less chip area. Moreover CCCII has the advantage of electronic tunability at its intrinsic resistance terminal via a bias current. The net list of given DOCCCII circuit has been simulated in Eldo using 65nm CMOS mixed signal Low-K IMD TSMC process development kit (PDK) with ±0.6V, low-Vt devices with statistical models. All verification, sizing and optimization analysis have been performed using the commercially available WiCkeD toolset from MunEDA at worst case operating conditions. Monte Carlo analysis has also been performed to verify the robustness of the circuit.
小功率电流控制电流输送机成品率优化
由于CMOS工艺的可变性越来越大,良率优化已成为集成电路(IC)设计特别是模拟IC设计的关键任务之一。这种可变性随着器件尺寸的不断缩放而变得越来越糟,因此降低了IC制造结果。本文研究了低功率第二代双输出电流控制电流输送机(doccccii)的成品率优化问题。电流传送带(CC)由于具有更高的带宽、更高的线性度、更大的动态范围、更简单的电路、更低的功耗和更小的芯片面积,在当前的模拟ic设计中越来越受到重视。此外,CCCII在其固有电阻端通过偏置电流具有电子可调谐的优点。在Eldo中,利用65nm CMOS混合信号低k IMD TSMC制程开发套件(PDK),采用±0.6V、低vt器件和统计模型对给定doccii电路的净列表进行了仿真。所有的验证、尺寸和优化分析都是在最坏的操作条件下使用MunEDA的商用WiCkeD工具集完成的。蒙特卡罗分析也进行了验证电路的鲁棒性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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