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dc.contributor.authorGhosal, Rinki
dc.contributor.authorGupta, Bhaskar
dc.description.abstractParametric 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.en_US
dc.publisherVidyasagar University , Midnapore , West-Bengal , Indiaen_US
dc.relation.ispartofseriesJournal of Physical Science;18
dc.subjectCylindrical DRAen_US
dc.subjectParametric studyen_US
dc.subjectArtificial Neural Networken_US
dc.subjectBack propagationen_US
dc.titleParametric Study and Artificial Neural Network Modeling of Cylindrical Dielectric Resonator Antenna (CDRA)en_US
Appears in Collections:Journal of Physical Sciences Vol.18 [2014] - [Special Issue : Communication, Device, Information and Intelligence Systems]

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