Applications of Optimization Techniques to Designs of Ultra-Wideband Planar Monopole Antennas
Date Issued
2012
Date
2012
Author(s)
Chou, Wei-Hsiang
Abstract
In this thesis, two optimization methods are respectively applied to achieve systematic approach for the design of ultra-wide band (UWB) planar monopole antennas and simplify the design procedure. The design goals for UWB antennas are to exhibit good matching in the UWB band which is from 3.1 GHz to 10.6 GHz and a narrow-band frequency notch in the wireless local area network (WLAN) band which is from 5.15 GHz to 5.825 GHz in this thesis. The first method is to apply design of experiments (DOE) technique in the size optimization of the predefined antennas’ geometric structure. By DOE, the regression models, which are the simple functions of antennas’ geometric parameters, can be attained via the analysis of variance (ANOVA) for predicting the performance of the antennas. With these models, we can work out a series of antennas’ geometric parameters which meet the design goals to achieve the size optimization. The accuracy of the regression models is verified via full-wave simulations. The second method is to apply binary particle swarm optimization (BPSO) algorithm in the topology optimization of the antennas with the predefined design region. For a start, we divided the metal patch of a planar rectangular monopole antenna into one hundred small square meshes which can be filled with metal or air. Next, the corresponding metal/air state of each square mesh is found by BPSO algorithm to get a pixelized antenna configuration whose performance meet the design goals. The above two methods are respectively applied to optimize the design of the ordinary and the band-notched UWB planar monopole antennas. The performance of each antenna design is also verified by way of experiments.
Subjects
Binary particle swarm optimization, design of experiments, planar monopole antennas, topology optimization, and ultra-wideband
Type
thesis
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