Please use this identifier to cite or link to this item: https://doi.org/10.1002/mmce.20095
Title: Modeling and optimization of cylindrical antennas using the mode-expansion method and genetic algorithms
Authors: Shen, D.
Wang, N.
Chen, Z.N. 
Keywords: Antenna optimization
Genetic algorithms
Impedance matching
Mode-expansion method
Monopole antenna
Issue Date: Nov-2005
Source: Shen, D., Wang, N., Chen, Z.N. (2005-11). Modeling and optimization of cylindrical antennas using the mode-expansion method and genetic algorithms. International Journal of RF and Microwave Computer-Aided Engineering 15 (6) : 511-522. ScholarBank@NUS Repository. https://doi.org/10.1002/mmce.20095
Abstract: For monopole antennas with cylindrically symmetric structures, a mode-expansion method is highly time efficient, which is a realistic approach for integrating function-optimization tools, such as genetic algorithms (GAs), in order to extract the best bandwidth property. In this article, a mode-expansion method is used to simulate the impedance characteristics of the cylindrical antennas. As examples, two new types of monopole antennas are presented, one of which possesses a two-step top-hat structure while the other has an annulus around the stem. After the modeling scheme is examined for convergence and data validity, the associated optimization problem, with dimensions as decision variables, structural limitations as linear constraints, and desired bandwidth performance as an objective function, is solved using GAs. The effects of the geometric parameters on the impedance characteristics are investigated in order to demonstrate the optimality of the calculated solutions. Two optimized practical antennas are designed based on our numerical studies. One has a broad bandwidth of 3 GHz while the other shows a dual-band property, which can satisfy the bandwidth requirements for both Bluetooth (2.45-GHz band) and WLAN (5-GHz band) systems. © 2005 Wiley Periodicals, Inc.
Source Title: International Journal of RF and Microwave Computer-Aided Engineering
URI: http://scholarbank.nus.edu.sg/handle/10635/56667
ISSN: 10964290
DOI: 10.1002/mmce.20095
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