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 |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Optimization_of_RF_on_chip_inductors_using_genetic_algorithms_2015.pdf Restricted Access | 1.7 MB | Adobe PDF | View/Open Request a copy |
Items in OAR@UM are protected by copyright, with all rights reserved, unless otherwise indicated.