Abstract
A novel design strategy for microstrip harmonic-suppression antennas is presented. The computational method is based on an integral equation solver using adaptive surface meshing driven by a genetic algorithm (GA). Three examples are illustrated, all involving design of coaxially-fed air-dielectric patch antennas incorporating shorting and folded walls. The characteristics of the antennas in terms of the impedance responses and far-field radiation patterns are discussed theoretically and experimentally. The performances of all of the GA-optimised antennas were shown to be excellent and the examples presented show the capability of the proposed method in antenna design using GA.
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