DocumentCode :
1716007
Title :
Artificial Neural Network model for suspended equilateral triangular microstrip antennas
Author :
Deshmukh, Amit A. ; Venkata, A.P.C. ; Nagarbowdi, Shafin ; Kulkarni, Shivali D.
Author_Institution :
EXTC Dept., DJSCOE, Mumbai, India
fYear :
2015
Firstpage :
1
Lastpage :
4
Abstract :
An Artificial Neural Network model for suspended equilateral triangular Microstrip antenna on thicker air substrate over 700 to 6000 MHz frequency band is proposed. For the substrate thickness varying in the range of 0.02 to 0.1λ0, the resonance frequencies calculated using proposed model agrees closely with the simulated and measured results with % error less than 4% over the complete frequency range. Thus proposed model can be used to design equilateral triangular patch at any given frequency and on thicker substrate.
Keywords :
microstrip antennas; neural nets; artificial neural network model; equilateral triangular patch; resonance frequencies; substrate thickness; suspended equilateral triangular microstrip antennas; Artificial neural networks; Atmospheric modeling; Broadband antennas; Measurement uncertainty; Microstrip antennas; Resonant frequency; Substrates; Artificial Neural Network model; Equilateral triangular microstrip antenna; Resonance frequency;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communication, Information & Computing Technology (ICCICT), 2015 International Conference on
Conference_Location :
Mumbai
Print_ISBN :
978-1-4799-5521-3
Type :
conf
DOI :
10.1109/ICCICT.2015.7045663
Filename :
7045663
Link To Document :
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