Please use this identifier to cite or link to this item: https://www.um.edu.mt/library/oar/handle/123456789/59300
Title: Optimization of RF on-chip inductors using genetic algorithms
Other Titles: Computational intelligence in analog and mixed-signal (AMS) and radio-frequency (RF) circuit design
Authors: Farhat, Eman Omar
Zarb Adami, Kristian
Casha, Owen
Abela, John
Keywords: Quality factor meters
Mutual inductance
Geometric programming
Issue Date: 2015
Publisher: Springer
Citation: Farhat, E. O., Zarb Adami, K., Casha, O., & Abela, J. (2015). Optimization of RF on-chip inductors using genetic algorithms. In M. Fakhfakh, E. Tlelo-Cuautle & P. Siarry (Eds.), Computational intelligence in analog and mixed-signal (AMS) and radio-frequency (RF) circuit design (pp. 331-361). Cham: Springer.
Abstract: This chapter discusses the optimization of the geometry of RF on-chip inductors by means of a genetic algorithm in order to achieve adequate performance. Necessary background theory together with the modeling of these inductors is included in order to aid the discussion. A set of guidelines for the design of such inductors with a good quality factor in a standard CMOS process is also provided. The optimization process is initialized by using a set of empirical formulae in order to estimate the physical parameters of the required structure as constrained by the technology. Then, automated design optimization is executed to further improve its performance by means of dedicated software packages. The authors explain how to use state-of-the-art computer-aided design tools in the optimization process and how to efficiently simulate the inductor performance using electromagnetic simulators.
URI: https://www.um.edu.mt/library/oar/handle/123456789/59300
Appears in Collections:Scholarly Works - FacICTMN

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