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Computational Tools for Antenna Analysis and Design

Tayli, Doruk LU (2018)
Abstract
Many engineers and scientists prevalently use computational tools in electromagnetics, which is also the predominant case for antennas. The ever-increasing number of applications and technologies that employ antennas create a constant demand to improve and extend existing tools and develop new ones. This dissertation investigates computational tools for antenna analysis and design. Antenna current optimization is used to determine the theoretical performance bounds on antennas above a ground plane. The results add insight to the performance of patch antennas and can thereby benefit antenna designers. Moreover, the limits are used to design antennas in method of moments (MoM) and genetic algorithm (GA) solvers. The matrices used to compute... (More)
Many engineers and scientists prevalently use computational tools in electromagnetics, which is also the predominant case for antennas. The ever-increasing number of applications and technologies that employ antennas create a constant demand to improve and extend existing tools and develop new ones. This dissertation investigates computational tools for antenna analysis and design. Antenna current optimization is used to determine the theoretical performance bounds on antennas above a ground plane. The results add insight to the performance of patch antennas and can thereby benefit antenna designers. Moreover, the limits are used to design antennas in method of moments (MoM) and genetic algorithm (GA) solvers. The matrices used to compute characteristic modes, that is a generalized eigenvalue problem, are analyzed. Numerical issues of the calculation are circumvented, and the computational complexity is decreased with the use of spherical vector waves. A macro basis function (MBF) and adaptive cross approximation (ACA) algorithm framework is employed to simulate vast endfire arrays. Convex optimization is used to synthesize endfire patterns with improved matching performance. Furthermore, the performance of two techniques that are used in the MBF method to model interconnected arrays is investigated in the endfire mode. (Less)
Please use this url to cite or link to this publication:
author
supervisor
opponent
  • Professor Eibert, Thomas, Technical University of Munich, Germany
organization
publishing date
type
Thesis
publication status
published
subject
keywords
Antenna theory, Fundamental bounds, method of moments (MoM), Characteristic modes, macro basis functions (MBFs), adaptive cross approximation (ACA), endfire arrays
pages
172 pages
publisher
Electromagnetic Theory Department of Electrical and Information Technology Lund University Sweden
defense location
lecture hall E:1406, building E, John Ericssons väg 4, Lund University, Faculty of Engineering LTH, Lund
defense date
2018-02-02 10:15
ISBN
978-91-7753-462-4
978-91-7753-461-7
language
English
LU publication?
yes
id
7d36f2c9-59a8-4fed-a8b7-c444a807f309
date added to LUP
2018-02-02 15:59:59
date last changed
2018-05-29 12:25:59
@phdthesis{7d36f2c9-59a8-4fed-a8b7-c444a807f309,
  abstract     = {Many engineers and scientists prevalently use computational tools in electromagnetics, which is also the predominant case for antennas. The ever-increasing number of applications and technologies that employ antennas create a constant demand to improve and extend existing tools and develop new ones. This dissertation investigates computational tools for antenna analysis and design. Antenna current optimization is used to determine the theoretical performance bounds on antennas above a ground plane. The results add insight to the performance of patch antennas and can thereby benefit antenna designers. Moreover, the limits are used to design antennas in method of moments (MoM) and genetic algorithm (GA) solvers. The matrices used to compute characteristic modes, that is a generalized eigenvalue problem, are analyzed. Numerical issues of the calculation are circumvented, and the computational complexity is decreased with the use of spherical vector waves. A macro basis function (MBF) and adaptive cross approximation (ACA) algorithm framework is employed to simulate vast endfire arrays. Convex optimization is used to synthesize endfire patterns with improved matching performance. Furthermore, the performance of two techniques that are used in the MBF method to model interconnected arrays is investigated in the endfire mode.},
  author       = {Tayli, Doruk},
  isbn         = {978-91-7753-462-4},
  keyword      = {Antenna theory,Fundamental bounds,method of moments (MoM),Characteristic modes,macro basis functions (MBFs),adaptive cross approximation (ACA),endfire arrays},
  language     = {eng},
  month        = {01},
  pages        = {172},
  publisher    = {Electromagnetic Theory Department of Electrical and Information Technology Lund University Sweden},
  school       = {Lund University},
  title        = {Computational Tools for Antenna Analysis and Design},
  year         = {2018},
}