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http://dx.doi.org/10.5515/KJKIEES.2016.27.12.1059

Parametric Study of Slow Wave Structure for Gain Enhancement and Sidelobe Suppression  

Park, Se-Been (Mobile Communication & Digital Broadcasting Engineering, Korea University of Science & Technology, Electronics and Telecommunications Research Institute)
Kang, Nyoung-Hak (BluewaveTel)
Eom, Soon-Young (Mobile Communication & Digital Broadcasting Engineering, Korea University of Science & Technology, Electronics and Telecommunications Research Institute)
Publication Information
Abstract
This paper proposes slow wave structure(SWS) utilized to increase antenna gain of printed dipole antenna(PDA) and to suppress sidelobe level simultaneously, and makes sure of electrical characteristics of the antenna according to parameter variations of components of the slow wave structure. The printed slow wave structure which is composed of a dielectric substrate and a metal rods array is located on excited direction of the PDA, affecting the radiation pattern and its intensity. Parasitic elements of the metal rods are arrayed in narrow consistent gap and have a tendency to gradually decrease in length. In this paper, array interval, element length, and taper angle are selected as the parameter of the parasitic element that effects radiation characteristics. Magnitude and phase distribution of the electrical field are observed and analyzed for each parameter variations. On the basis of these results, while the radiation pattern is analyzed, array methods of parasitic elements of the SWS for high gain characteristics are provided. The proposed antenna is designed to be operated at the Wifi band(5.15~5.85 GHz), and parameters of the parasitic element are optimized to maximize antenna gain and suppress sidelobe. Simulated and measured results of the fabricated antenna show that it has wide bandwidth, high efficiency, high gain, and low sidelobe level.
Keywords
Slow Wave Structure(SWS); Printed Dipole Antenna(PDA); High Gain; Sidelobe Suppresion; Parametric Study;
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Times Cited By KSCI : 2  (Citation Analysis)
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