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Antenna Bandwidth Optimization by Genetic Algorithms with Single Frequency Simulation

Cismasu, Marius LU and Gustafsson, Mats LU (2013) 7th European Conference on Antennas and Propagation (EuCAP), 2013 p.2781-2782
Abstract
Antenna Q optimization by a genetic algorithm with method of moments simulation at a single frequency is described. The optimized antennas may have arbitrary shapes within a rectangular region. Simulations using a commercial tool show good agreement between the predicted and realized Q factor. Furthermore, comparison with the physical bound shows that the optimized antennas perform close to the optimum for many electrically small dimensions.
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
antenna theory, antenna optimization, physical limitations, genetic algorithm, method of moment
host publication
2013 7th European Conference on Antennas and Propagation (EuCAP)
pages
2 pages
publisher
IEEE--Institute of Electrical and Electronics Engineers Inc.
conference name
7th European Conference on Antennas and Propagation (EuCAP), 2013
conference location
Gothenburg, Sweden
conference dates
2013-04-08 - 2013-04-12
external identifiers
  • wos:000327126002129
  • scopus:84881281451
ISSN
2164-3342
ISBN
978-1-4673-2187-7
language
English
LU publication?
yes
id
52199b13-b4c9-4d5d-8fbc-25bf5a240aa5 (old id 4001621)
alternative location
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6546806
date added to LUP
2013-08-26 14:06:39
date last changed
2019-02-20 06:31:21
@inproceedings{52199b13-b4c9-4d5d-8fbc-25bf5a240aa5,
  abstract     = {Antenna Q optimization by a genetic algorithm with method of moments simulation at a single frequency is described. The optimized antennas may have arbitrary shapes within a rectangular region. Simulations using a commercial tool show good agreement between the predicted and realized Q factor. Furthermore, comparison with the physical bound shows that the optimized antennas perform close to the optimum for many electrically small dimensions.},
  author       = {Cismasu, Marius and Gustafsson, Mats},
  isbn         = {978-1-4673-2187-7},
  issn         = {2164-3342},
  keyword      = {antenna theory,antenna optimization,physical limitations,genetic algorithm,method of moment},
  language     = {eng},
  location     = {Gothenburg, Sweden},
  pages        = {2781--2782},
  publisher    = {IEEE--Institute of Electrical and Electronics Engineers Inc.},
  title        = {Antenna Bandwidth Optimization by Genetic Algorithms with Single Frequency Simulation},
  year         = {2013},
}