地统计学启发了纳米级CMOS锁相环的快速布局优化

Oghenekarho Okobiah, S. Mohanty, E. Kougianos
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引用次数: 2

摘要

在本文中,我们提出了一种用于设计和优化模拟和混合信号电路设计的地质统计学方法,并举例说明了用于广域网(WAN)和专用移动无线电(PMR)应用的锁相环(PLL)系统的设计。该方法结合了基于地质统计学的元建模技术(Kriging)和优化算法(引力搜索算法),并与类似方法进行了比较。结果表明,地统计学方法提供了更精确的元模型和更有效的优化设计技术。据作者所知,这是第一个用于锁相环设计元建模和优化的地质统计学方法。所提出的优化可以实现锁相环功率降低79%,锁定时间减少4%,且没有任何面积损失。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Geostatistics inspired fast layout optimization of nanoscale CMOS phase locked loop
In this paper, we present a geostatistical method for design and optimization of analog and mixed signal circuits design illustrated with the design of phase locked loop (PLL) systems used in Wide Area Network (WAN) and Private Mobile Radio (PMR) applications. The proposed method incorporates the use of a geostatistic based metamodeling technique (Kriging) and optimization algorithm (gravitational search algorithm) and is compared to similar approaches. The results show that the geostatistical methods provide more accurate metamodels and more efficient optimization design techniques. To the best of the authors' knowledge, this is the first geostatistical method for metamodeling and optimization of PLL designs. The proposed optimization could achieve 79% reduction in PLL power with 4% reduction in locking time without any area penalty.
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