Optimizing a PIFA Using a Genetic Algorithms Approach

N. K. Kouveliotis Division of Information Transmission Systems and Material Technology, School of Electrical and Computer Engineering, National Technical University of Athens, 9, Iroon Polytechniou Str., 157 73, Zografou, Athens, Greece

S. C. Panagiotou Division of Information Transmission Systems and Material Technology, School of Electrical and Computer Engineering, National Technical University of Athens, 9, Iroon Polytechniou Str., 157 73, Zografou, Athens, Greece

P. K. Varlamos Division of Information Transmission Systems and Material Technology, School of Electrical and Computer Engineering, National Technical University of Athens, 9, Iroon Polytechniou Str., 157 73, Zografou, Athens, Greece

T. D. Dimousios Division of Information Transmission Systems and Material Technology, School of Electrical and Computer Engineering, National Technical University of Athens, 9, Iroon Polytechniou Str., 157 73, Zografou, Athens, Greece

C. N. Capsalis Division of Information Transmission Systems and Material Technology, School of Electrical and Computer Engineering, National Technical University of Athens, 9, Iroon Polytechniou Str., 157 73, Zografou, Athens, Greece

Abstract

An optimized planar inverted F antenna (PIFA), used in mobile communications, is proposed in this paper. With the aid of the Genetic Algorithms (GA) optimization technique, a PIFA with a wide impedance bandwidth and a sufficient gain for use in mobile communications is presented. A comparison with results emerging from an application of the Finite Difference Time Domain (FDTD) method is demonstrated.

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Optimizing a PIFA Using a Genetic Algorithms Approach

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