Please use this identifier to cite or link to this item:
|Title:||Parametric Study and Artificial Neural Network Modeling of Cylindrical Dielectric Resonator Antenna (CDRA)|
Artificial Neural Network
|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.|
|Appears in Collections:||Journal of Physical Sciences Vol.18  - [Special Issue : Communication, Device, Information and Intelligence Systems]|
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.