GA/MoM optimization of PIFA antennas with meandering slits

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Date

2007-11-16

Authors

Michael, K.
Kucharski, A. A.

Journal Title

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Publisher

IET Digital Library

Abstract

The optimization of a mobile antenna by genetic algorithm (GA) can be done in many ways, e.g. by random removal of rectangles on the patch radiator, movement of shorting patches, etc. In this paper we will demonstrate the optimization of planar inverted F antenna (PIFA) for multiband and broadband operation by random removal of slits on the patch radiator to form a meandering PIFA antenna. Optimization technique is based on the combination of GA and method of moments (MoM), in which MoM is based on RWG (Rao-Wilston-Glisson) edge elements. GA manipulates slits on the patch radiator in order to obtain a specific frequency response. Recalculation of the MoM interaction matrix for each individual in the GA is avoided by application of DMM (direct matrix manipulation)[3].

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Conference paper published by IET Digital Library

Keywords

microstrip antennas, genetic algorithms, mobile antennas, planar inverted-F antennas

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