Genetic Algorithms in Antennas and Smart Antennas Design Overview: Two Novel Antenna Systems for Triband GNSS Applications and a Circular Switched Parasitic Array for WiMax Applications Developments with the Use of Genetic Algorithms
Genetic algorithms belong to a stochastic class of evolutionary techniques, whose robustness and global search of the solutions space have made them extremely popular among researchers. They have been successfully applied to electromagnetic optimization, including antenna design as well as smart ant...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2014-01-01
|
| Series: | International Journal of Antennas and Propagation |
| Online Access: | http://dx.doi.org/10.1155/2014/729208 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832564563142246400 |
|---|---|
| author | Stylianos C. Panagiotou Stelios C. A. Thomopoulos Christos N. Capsalis |
| author_facet | Stylianos C. Panagiotou Stelios C. A. Thomopoulos Christos N. Capsalis |
| author_sort | Stylianos C. Panagiotou |
| collection | DOAJ |
| description | Genetic algorithms belong to a stochastic class of evolutionary techniques, whose robustness and global search of the solutions space have made them extremely popular among researchers. They have been successfully applied to electromagnetic optimization, including antenna design as well as smart antennas design. In this paper, extensive reference to literature related antenna design efforts employing genetic algorithms is taking place and subsequently, three novel antenna systems are designed in order to provide realistic implementations of a genetic algorithm. Two novel antenna systems are presented to cover the new GPS/Galileo band, namely, L5 (1176 MHz), together with the L1 GPS/Galileo and L2 GPS bands (1575 and 1227 MHz). The first system is a modified PIFA and the second one is a helical antenna above a ground plane. Both systems exhibit enhanced performance characteristics, such as sufficient front gain, input impedance matching, and increased front-to-back ratio. The last antenna system is a five-element switched parasitic array with a directional beam with sufficient beamwidth to a predetermined direction and an adequate impedance bandwidth which can be used as receiver for WiMax signals. |
| format | Article |
| id | doaj-art-adb24a19284148229a30f0442125aa08 |
| institution | Kabale University |
| issn | 1687-5869 1687-5877 |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Antennas and Propagation |
| spelling | doaj-art-adb24a19284148229a30f0442125aa082025-02-03T01:10:43ZengWileyInternational Journal of Antennas and Propagation1687-58691687-58772014-01-01201410.1155/2014/729208729208Genetic Algorithms in Antennas and Smart Antennas Design Overview: Two Novel Antenna Systems for Triband GNSS Applications and a Circular Switched Parasitic Array for WiMax Applications Developments with the Use of Genetic AlgorithmsStylianos C. Panagiotou0Stelios C. A. Thomopoulos1Christos N. Capsalis2Institute of Informatics and Telecommunications, National Center for Scientific Research “Demokritos”, Patriarchou Grigoriou and Neapoleos Street, Agia Paraskevi, 15310 Attiki, GreeceInstitute of Informatics and Telecommunications, National Center for Scientific Research “Demokritos”, Patriarchou Grigoriou and Neapoleos Street, Agia Paraskevi, 15310 Attiki, GreeceSchool of Electrical and Computer Engineering, National Technical University of Athens, 9 Iroon Polytechniou Street, Zografou, 15773 Attiki, GreeceGenetic algorithms belong to a stochastic class of evolutionary techniques, whose robustness and global search of the solutions space have made them extremely popular among researchers. They have been successfully applied to electromagnetic optimization, including antenna design as well as smart antennas design. In this paper, extensive reference to literature related antenna design efforts employing genetic algorithms is taking place and subsequently, three novel antenna systems are designed in order to provide realistic implementations of a genetic algorithm. Two novel antenna systems are presented to cover the new GPS/Galileo band, namely, L5 (1176 MHz), together with the L1 GPS/Galileo and L2 GPS bands (1575 and 1227 MHz). The first system is a modified PIFA and the second one is a helical antenna above a ground plane. Both systems exhibit enhanced performance characteristics, such as sufficient front gain, input impedance matching, and increased front-to-back ratio. The last antenna system is a five-element switched parasitic array with a directional beam with sufficient beamwidth to a predetermined direction and an adequate impedance bandwidth which can be used as receiver for WiMax signals.http://dx.doi.org/10.1155/2014/729208 |
| spellingShingle | Stylianos C. Panagiotou Stelios C. A. Thomopoulos Christos N. Capsalis Genetic Algorithms in Antennas and Smart Antennas Design Overview: Two Novel Antenna Systems for Triband GNSS Applications and a Circular Switched Parasitic Array for WiMax Applications Developments with the Use of Genetic Algorithms International Journal of Antennas and Propagation |
| title | Genetic Algorithms in Antennas and Smart Antennas Design Overview: Two Novel Antenna Systems for Triband GNSS Applications and a Circular Switched Parasitic Array for WiMax Applications Developments with the Use of Genetic Algorithms |
| title_full | Genetic Algorithms in Antennas and Smart Antennas Design Overview: Two Novel Antenna Systems for Triband GNSS Applications and a Circular Switched Parasitic Array for WiMax Applications Developments with the Use of Genetic Algorithms |
| title_fullStr | Genetic Algorithms in Antennas and Smart Antennas Design Overview: Two Novel Antenna Systems for Triband GNSS Applications and a Circular Switched Parasitic Array for WiMax Applications Developments with the Use of Genetic Algorithms |
| title_full_unstemmed | Genetic Algorithms in Antennas and Smart Antennas Design Overview: Two Novel Antenna Systems for Triband GNSS Applications and a Circular Switched Parasitic Array for WiMax Applications Developments with the Use of Genetic Algorithms |
| title_short | Genetic Algorithms in Antennas and Smart Antennas Design Overview: Two Novel Antenna Systems for Triband GNSS Applications and a Circular Switched Parasitic Array for WiMax Applications Developments with the Use of Genetic Algorithms |
| title_sort | genetic algorithms in antennas and smart antennas design overview two novel antenna systems for triband gnss applications and a circular switched parasitic array for wimax applications developments with the use of genetic algorithms |
| url | http://dx.doi.org/10.1155/2014/729208 |
| work_keys_str_mv | AT stylianoscpanagiotou geneticalgorithmsinantennasandsmartantennasdesignoverviewtwonovelantennasystemsfortribandgnssapplicationsandacircularswitchedparasiticarrayforwimaxapplicationsdevelopmentswiththeuseofgeneticalgorithms AT stelioscathomopoulos geneticalgorithmsinantennasandsmartantennasdesignoverviewtwonovelantennasystemsfortribandgnssapplicationsandacircularswitchedparasiticarrayforwimaxapplicationsdevelopmentswiththeuseofgeneticalgorithms AT christosncapsalis geneticalgorithmsinantennasandsmartantennasdesignoverviewtwonovelantennasystemsfortribandgnssapplicationsandacircularswitchedparasiticarrayforwimaxapplicationsdevelopmentswiththeuseofgeneticalgorithms |