CST – Computer Simulation Technology

A Mobile Communication Base Station Antenna Using a Genetic Algorithm Based Fabry-Pérot Resonance Optimization

Title:
A Mobile Communication Base Station Antenna Using a Genetic Algorithm Based Fabry-Pérot Resonance Optimization
Author(s):
Dongho Kim, Jeongho Ju, Jaeick Choi
Source:
IEEE Transactions on Antennas and Propagation
Vol./Issue/Date:
Volume: 60, Issue: 2, February 2012
Year:
2012
Page(s):
1053-1058
Keywords:
Base station antenna, Fabry-Perot cavity antenna, hybrid genetic algorithm, high-gain antenna, wideband antenna
Abstract:
We proposed a high-gain wideband resonant-type mobile communication base station antenna using a Fabry-Pérot 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.
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