Journal
INTERNATIONAL JOURNAL OF ANTENNAS AND PROPAGATION
Volume 2014, Issue -, Pages -Publisher
HINDAWI LTD
DOI: 10.1155/2014/729208
Keywords
-
Funding
- EU [HIPOW-FP7-SEC-2011-284802]
Ask authors/readers for more resources
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 (1176MHz), together with the L1 GPS/Galileo and L2 GPS bands (1575 and 1227MHz). 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.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available