High Dimensional Noise and Power Optimization of a Three-Stage Amplifier with Feedforward Reversed Nested Miller Compensation

Khaled Yasseen, H. Omran
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Abstract

The design and optimization of a three-stage operational transconductance amplifier are discussed in this paper. Reversed nested-Miller compensation with feedforward transconductance is used to satisfy the stability requirements. A systematic gm/ID-based procedure that uses pre-computed lookup tables is used to take all the circuit degrees of freedom into account and solve a high-dimensional non-linear optimization problem. Exact symbolic expressions are obtained by a symbolic solver for both the objectives and constraints. Two optimization problems are formulated: A single-objective optimization problem for minimizing the noise and a multi-objective optimization problem for minimizing both noise and power consumption. The proposed optimization flow is very fast and takes less than 20 s on a standard computer. Moreover, the design space is visualized using one million design points to illustrate the design trade-offs and the multi-objective Pareto-optimal front. The synthesis results are compared with Cadence Spectre simulation results showing very good agreement.
具有前馈反向嵌套米勒补偿的三级放大器的高维噪声和功率优化
本文讨论了一种三级跨导运算放大器的设计与优化。采用具有前馈跨导的反向嵌套米勒补偿来满足稳定性要求。采用一种系统的基于gm/ id的程序,该程序使用预先计算的查找表来考虑所有电路自由度并解决高维非线性优化问题。通过符号求解器得到了目标和约束的精确符号表达式。提出了两个优化问题:最小化噪声的单目标优化问题和最小化噪声和功耗的多目标优化问题。所提出的优化流程非常快,在标准计算机上只需不到20秒。此外,使用一百万个设计点来可视化设计空间,以说明设计权衡和多目标帕累托最优前沿。将合成结果与Cadence Spectre仿真结果进行了比较,结果吻合较好。
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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