Title :
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
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;
Conference_Titel :
Electrical, Computer and Communication Technologies (ICECCT), 2015 IEEE International Conference on
Conference_Location :
Coimbatore
Print_ISBN :
978-1-4799-6084-2
DOI :
10.1109/ICECCT.2015.7226186
