A HIGH-DIRECTIVITY MICROSTRIP PATCH ANTENNA DESIGN BY USING GENETIC ALGORITHM OPTIMIZATION
Author(s) -
Jeevani Jayasinghe,
Jaume Anguera,
Disala Uduwawala
Publication year - 2013
Publication title -
progress in electromagnetics research c
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.341
H-Index - 34
ISSN - 1937-8718
DOI - 10.2528/pierc13010805
Subject(s) - directivity , microstrip antenna , genetic algorithm , patch antenna , antenna (radio) , microstrip , computer science , electronic engineering , acoustics , algorithm , engineering , telecommunications , physics , machine learning
A high-directivity patch antenna with broadside directiv- ity is attractive, since a narrow beam can be obtained without the need of using an array of antennas. Therefore, the solution becomes simpler as there is no need for a complicated feeding network. In this sense, this paper presents a novel patch antenna design with high directiv- ity in the broadside direction by using genetic algorithms (GA). The proposed GA method divides the overall patch area into difierent cells taking into account that cells have a small overlap area between them. This avoids optimized geometries where cells have only an inflnitesimal connection. Therefore, the proposed method is robust for manufactur- ing. The antenna operates in a higher-order mode at 4.12GHz and the geometry flts inside a patch of 40mm £ 40mm on a substrate with a relative permittivity of 3.38 and a thickness of 1.52mm resulting in a directivity of 10.5dBi. The specialty of this design is the use of GA to select the optimized shape and the feeding position instead of a known shape and a flxed feeding position. The antenna has been fabricated and the simulation results are in good agreement with the measure- ments. This results in a simpler design of a single high-directivity patch, which can substitute an array of two elements operating in the fundamental mode.
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