Automated optimization technique of CMOS analog cell circuit based on symbolic analysis

Zheng Weishan1、Deng Qing2、Liu Zhaoxia1、Shi Longxing3

Strategic Study of CAE ›› 2009, Vol. 11 ›› Issue (4) : 50-56.

PDF(872 KB)
PDF(872 KB)
Strategic Study of CAE ›› 2009, Vol. 11 ›› Issue (4) : 50-56.

Automated optimization technique of CMOS analog cell circuit based on symbolic analysis

  • Zheng Weishan1、Deng Qing2、Liu Zhaoxia1、Shi Longxing3

Author information +
History +

Abstract

A methodology for automatic design optimization of CMOS analog cell circuits is presented. The proposed method uses symbolic analysis technique to generate exact analytic performance equations, describing the behaviors of circuits. The symbolic model is then passed to the genetic algorithm and is used as evaluating performance criterion. For the fixed topology, the algorithm sizes all elements to satisfy the performance constraints, thereby optimizing a user-defined design objective. Practical example shows that the method quickly designs analog cell circuits, closely meeting the specifications, and that it is a flexible and reliable design and exploration methodology.

Keywords

optimization / performance equation / symbolic analysis / genetic algorithm

Cite this article

Download citation ▾
Zheng Weishan,Deng Qing,Liu Zhaoxia,Shi Longxing. Automated optimization technique of CMOS analog cell circuit based on symbolic analysis. Strategic Study of CAE, 2009, 11(4): 50‒56
AI Summary AI Mindmap
PDF(872 KB)

Accesses

Citations

Detail

Sections
Recommended

/