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Title: Parametric Study and Artificial Neural Network Modeling of Cylindrical Dielectric Resonator Antenna (CDRA)
Authors: Ghosal, Rinki
Gupta, Bhaskar
Keywords: Cylindrical DRA
Parametric study
Artificial Neural Network
Back propagation
Issue Date: 27-Mar-2014
Publisher: Vidyasagar University , Midnapore , West-Bengal , India
Series/Report no.: Journal of Physical Science;18
Abstract: Parametric studies on Cylindrical Dielectric Resonator Antenna were performed by changing the dimension (radius and height of the cylinder) of the antenna, its material characteristic (permittivity of the dielectric) and feed position of coaxial probe. Resonant frequency of the antenna, its return loss and directivity at resonant frequency were observed for the variation of these parameters in certain ranges. Using these tabulated data, obtained by this parametric study (done using simulation software HFSS), an Artificial Neural Network (ANN) model for the CDRA has been formed and validated.
Description: 1-6
ISSN: 0972-8791
Appears in Collections:Journal of Physical Sciences Vol.18 [2014] - [Special Issue : Communication, Device, Information and Intelligence Systems]

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