文章基本信息

标题：Performance Optimization of Folded Cascode OTA Using an Evolutionary Algorithm
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作者：Roohollah Nakhaei ; Mohammad Zahaby
期刊名称：International Journal of Advanced Research In Computer Science and Software Engineering
印刷版ISSN：2277-6451
电子版ISSN：2277-128X
出版年度：2013
卷号：3
期号：6
出版社：S.S. Mishra
摘要：In this paper we propose a simulation based approach for optimizing the performance of folded cascade OTA by use of particle swarm optimization algorithm. There are some trade-offs between Gain, BW, PM, CMRR and PSRR in OTA design which force the designer to accomplish such a long time complicated work to optimize the circuit. In this work the usage of PSO algorithm in automated optimization of FCOTA has been investigated. The PSO algorithm is implemented in MATLAB which has been linked with an electrical simulator, HSPICE. It gets a netlist as its input while the output is active devices sizes and passive values. Obtained results which compared with three other works prove the effectiveness of this approach
关键词：folded cascode OTA; PSO; circuit design optimization; evolutionary algorithm;CMOS