BROWSE
Detail
Journal Article
A Mobile Communication Base Station Antenna Using a Genetic Algorithm Based Fabry-Pérot Resonance Optimization
Cited 30 time in 
Share 
Share
- Authors
- Dong Ho Kim, Jeong Ho Ju, Jae Ick Choi
- Issue Date
- 2012-02
- Citation
- IEEE Transactions on Antennas and Propagation, v.60, no.2, pp.1053-1058
- ISSN
- 0018-926X
- Publisher
- IEEE
- Language
- English
- Type
- Journal Article
- Abstract
- We proposed a high-gain wideband resonant-type mobile communication base station antenna using a Fabry-P챕rot cavity (FPC) technique. To overcome inherent narrow radiation bandwidth of FPC-type antennas while keeping relatively high gain, we introduced a new superstrate structure composed of square patches and loops, which satisfies an FPC resonance condition at a target frequency region. To do that, we optimized the superstrate geometry with the help of a real-value coding hybrid genetic algorithm (RHGA). The optimized superstrate is very thin, and therefore, it can be fabricated with a single dielectric substrate, which is a fairly strong point in practical applications. Moreover, we enclosed four openings of the antenna in lateral directions to increase antenna gain with a limited aperture area. Therefore, a modified prediction method of an FPC resonance is used, which reduced the effort of complicated three-dimensional antenna optimization. Consequently, our antenna is able to operate in a wide bandwidth with a relatively high realized gain. Furthermore, good agreement between measured results and prediction ones confirms the validity of our design approach. © 2011 IEEE.
- KSP Keywords
- Antenna gain, Base Station Antenna, Communication base station, Dielectric substrate, High Gain, Hybrid Genetic Algorithm(HGA), Prediction methods, Resonant-type, Target frequency, Three dimensional(3D), Wide Bandwidth