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Fast Optimization for VCOs Using GSA Algorithm

机译:使用GSA算法快速优化VCO

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Finding the optimal size in VLSI circuits such as voltage controlled oscillator is one of the challenging tasks for IC designers. VCO is one of the most widely used blocks in both digital and analog circuits. In this paper, a new approach has been presented to find the optimum size of transistors in order to optimize phase noise and power in ring VCOs. In this work, the gravitational search algorithm (GSA) is employed to optimize the size of transistors for the purpose of reaching the best phase noise and power. Tested differential ring VCOs are simulated in 65nm Cadence Virtuoso by considering the size of transistors extracted from GSA in MATLAB environment.
机译:在VLSI电路(如压控振荡器)中找到最佳尺寸是IC设计人员面临的挑战之一。 VCO是数字电路和模拟电路中使用最广泛的模块之一。在本文中,已经提出了一种新的方法来找到晶体管的最佳尺寸,以便优化环形VCO中的相位噪声和功率。在这项工作中,重力搜索算法(GSA)用于优化晶体管的尺寸,以达到最佳的相位噪声和功率。考虑到从MATLAB环境中从GSA提取的晶体管的尺寸,在65nm Cadence Virtuoso中对经过测试的差分环VCO进行了仿真。

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