Design of slotted Microstrip patch Antenna with enhanced bandwidth in C- band applications

Author

Roy, Chandan Sinha ; Roy, Priram Singha

Author_Institution

Comput. Sci. & Eng. Dept., Gov. Coll. of Eng. & Textile Technol., Murshidabad, India

fYear

2015

fDate

5-7 March 2015

Firstpage

1

Lastpage

4

Abstract

Neural network model has been developed to estimation of antenna characteristics like resonance frequency, Gain and Bandwidth of a coaxial feed slotted Microstrip patch Antenna. The aim of the study is to analysis of physical parameters of designed slotted Microstrip antennas with dielectric constant RT Duroid (ε = 2.4) and substrate of thickness 3.17 mm. The results obtained using IE3D simulation are compared with ANN outputs found quite satisfactory. The proposed antenna has improved 5.88 GHz to 8.28 GHz of bandwidth compare than conventional unslotted microstrip antenna.

Keywords

microstrip antennas; neural nets; C-band applications; bandwidth 5.88 GHz to 8.28 GHz; dielectric constant; enhanced bandwidth; neural network model; slotted microstrip patch antenna; Algorithm design and analysis; Microstrip; Microstrip antennas; Neurons; Probes; Slot antennas; Training; Artificial Neural Network; Levenberg-Marquardt algorithm; Resonance frequency; bandwidth; gain; slotted Microstrip antenna;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical, Computer and Communication Technologies (ICECCT), 2015 IEEE International Conference on

Conference_Location

Coimbatore

Print_ISBN

978-1-4799-6084-2

Type

conf

DOI

10.1109/ICECCT.2015.7226186

Filename

7226186