Computational Tools for Antenna Analysis and Design
(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:
https://lup.lub.lu.se/record/7d36f2c9-59a8-4fed-a8b7-c444a807f309
- author
- Tayli, Doruk LU
- supervisor
- opponent
-
- Professor Eibert, Thomas, Technical University of Munich, Germany
- organization
- publishing date
- 2018-01-31
- 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 10:15:00
- ISBN
- 978-91-7753-462-4
- 978-91-7753-461-7
- language
- English
- LU publication?
- yes
- additional info
- Revised version, with tyographical errors amended.
- id
- 7d36f2c9-59a8-4fed-a8b7-c444a807f309
- date added to LUP
- 2018-02-02 15:59:59
- date last changed
- 2022-04-08 08:08:17
@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}}, keywords = {{Antenna theory; Fundamental bounds; method of moments (MoM); Characteristic modes; macro basis functions (MBFs); adaptive cross approximation (ACA); endfire arrays}}, language = {{eng}}, month = {{01}}, publisher = {{Electromagnetic Theory Department of Electrical and Information Technology Lund University Sweden}}, school = {{Lund University}}, title = {{Computational Tools for Antenna Analysis and Design}}, url = {{https://lup.lub.lu.se/search/files/69606844/Tayli_thesis.pdf}}, year = {{2018}}, }