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학술지 A Mobile Communication Base Station Antenna using a Genetic Algorithm based Fabry-Perot Resonance Optimization
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저자
김동호, 주정호, 최재익
발행일
201202
출처
IEEE Transactions on Antennas and Propagation, v.60 no.2, pp.1053-1058
ISSN
0018-926X
출판사
IEEE
DOI
https://dx.doi.org/10.1109/TAP.2011.2173108
협약과제
10ZI1100, 유비쿼터스 인프라 연구, 김대식
초록
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.
키워드
Base station antenna, Fabry-P챕rot cavity antenna, High-gain antenna, Hybrid genetic algorithm, Wideband antenna
KSP 제안 키워드
Antenna gain, Communication base station, Dielectric substrate, Fabry-Perot resonance, High Gain Antenna(HGA), Prediction methods, Resonant-type, Target frequency, Three dimensional(3D), Wide bandwidth, Wideband antenna