An algorithmic optimization method for design of /spl Sigma//spl Delta/ modulators

Proceedings. The 16th International Conference on Microelectronics, 2004. ICM 2004. Pub Date : 2004-12-06 DOI:10.1109/ICM.2004.1434717

Azadeh Zahabi, O. Shoaei, Y. Koolivand, H. Shamsi

引用次数: 0

Abstract

A two-stage optimization approach for the design of /spl Sigma//spl Delta/ modulators using genetic algorithm has been proposed. The method utilizes a new idea called gene-dependent fitness function, which takes some circuit-level non-idealities into account in the evaluation of the cost function. The combination of an equation-based and a high-level simulation-based genetic algorithm have been reduced conversion speed and consumed CPU time of the modulator design, significantly. Using the proposed approach, the optimized order, oversampling ratio and the DAC bit number to meet the specified specifications is obtained. This speedups the design process without extra time-consuming circuit simulations and transient analysis.

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/spl Sigma//spl Delta/调制器设计的算法优化方法

提出了一种采用遗传算法设计/spl Sigma//spl Delta/调制器的两阶段优化方法。该方法采用了一种新的思想——基因依赖适应度函数，在代价函数的评估中考虑了一些电路层面的非理想性。将基于方程的遗传算法与基于高级仿真的遗传算法相结合，大大降低了调制器设计的转换速度和消耗CPU时间。利用所提出的方法，得到了满足指定规格的优化阶数、过采样比和DAC位数。这加快了设计过程，而无需额外耗时的电路模拟和瞬态分析。

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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Proceedings. The 16th International Conference on Microelectronics, 2004. ICM 2004.

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