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Area optimization of two-stage amplifier using modified particle swarm optimization algorithm

机译:基于改进粒子群算法的二级放大器面积优化

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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.
机译:没有电子电路就无法考虑现代时代。如果接收天线处的信号强度非常弱,则必须使用一种称为“放大器”的设备来增加接收信号(功率)的强度。放大器的输出始终强于其输入。因此,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至关重要的原因。本文研究了在考虑其他约束的情况下使用改进的粒子群优化(MPSO)方法最小化两级放大器的面积的方法。本文中使用MPSO获得的总晶体管面积为2.61×10-10 m2,这是我所知,并且功耗也小得多,为1492μW。获得的值由CADENCE模拟器验证并验证。结果证明,使用改进的粒子群算法可以实现更好的结果。

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