基于改进粒子群算法的两级放大器面积优化

S. Ratan, D. Mondal, R. Anima, Chandan Kumar, Amit Kumar, R. Kar
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引用次数: 2

摘要

现代社会离不开电子电路。如果接收天线的信号强度非常弱,那么必须需要一个设备来增加接收信号的强度(功率),称为放大器。放大器的输出总是比输入强。放大器是电子电路中最简单但最重要的部分之一。这就是为什么放大器的设计在模拟电路设计中是至关重要的。本文研究了在考虑其他约束条件的情况下,利用改进粒子群优化(MPSO)方法使两级放大器的面积最小化。本文用MPSO获得的晶体管总面积为2.61×10-10 m2,这是我所知道的最好的,而且功耗也小得多,为1492 μW。所得值由CADENCE模拟器进行验证。结果表明,采用改进的粒子群优化可以获得更好的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Area optimization of two-stage amplifier using modified particle swarm optimization algorithm
Modern era cannot be consider without an electronics circuits. If Signal strength at the receiving antenna is very weak then there must be required a device that increase the strength of the received signal (power), known as Amplifier. Output of an amplifier is always stronger than its input. So amplifiers are the simplest yet one of the most important parts of electronic circuits. This is why the designing of amplifiers is crucial in analog circuit designing. This paper investigated to minimize the area of a two stage amplifier using modified particle swarm optimization (MPSO) method considering other constraints. The total transistor area obtain using MPSO in this paper is 2.61×10-10 m2 and it is the best of my knowledge, also the power dissipation is much lesser, 1492 μW. Obtained values are verified by the CADENCE simulator and validated. The results proved that the use of modified particle swarm optimization made it possible to achieve better results.
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