DocumentCode :
2356407
Title :
A PIFA - parasitic optimization utilizing the Genetic Algorithms technique
Author :
Panagiotou, Stylianos C. ; Kouveliotis, Nikolaos K. ; Dimousios, Themistoklis D. ; Varlamos, Pantelis K. ; Mitilineos, Stelios A. ; Capsalis, Christos N.
Author_Institution :
Div. of Inf. Transm. Syst. & Mater. Technol., Nat. Tech. Univ. of Athens, Athens
fYear :
2006
fDate :
6-10 Nov. 2006
Firstpage :
1
Lastpage :
5
Abstract :
The development of integrated antennas is a progressing research area which plays an important role in commercial mobile communications applications. In this paper, a structure consisting of a planar inverted F antenna and a parasitic element above the same ground plane (PIFA - parasitic) is presented. An effort is carried out to optimize the performance of this structure regarding its resonant frequency and bandwidth. With the use of the genetic algorithms (GA) optimization technique, a PIFA - parasitic with frequency - independent operational characteristics is presented and a sufficient impedance bandwidth is achieved.
Keywords :
genetic algorithms; planar inverted-F antennas; PIFA-parasitic optimization; frequency-independent operational characteristics; genetic algorithm; integrated antenna; mobile communication application; planar inverted-F antenna; resonant frequency; Bandwidth; Feeds; Frequency; Genetic algorithms; Geometry; Helical antennas; Impedance matching; Mobile antennas; Mobile communication; Wire;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Antennas and Propagation, 2006. EuCAP 2006. First European Conference on
Conference_Location :
Nice
Print_ISBN :
978-92-9092-937-6
Type :
conf
DOI :
10.1109/EUCAP.2006.4584605
Filename :
4584605
Link To Document :
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