Journal
PROCEEDINGS OF 4TH INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTING, COMMUNICATION AND CONTROL(ICAC3'15)
Volume 49, Issue -, Pages 332-339Publisher
ELSEVIER SCIENCE BV
DOI: 10.1016/j.procs.2015.04.261
Keywords
Rectangular Microstrip antenna; Suspended microstrip antenna; Artificial Neural Network model; Thicker substrate
Ask authors/readers for more resources
The broadband microstrip antenna is more commonly realized by fabricating the patch on lower dielectric constant thicker substrate. While using thicker substrate, close form expressions for calculating edge extension length due to fringing fields is not available. In this paper, an artificial neural network model for suspended rectangular microstrip antenna is proposed. The resonance frequency calculated by using the proposed neural network model closely agrees with simulated and measured results over wide frequency range and for varying thicker substrates. Thus the proposed model can be used to accurately calculate the side length of rectangular microstrip antenna. (C) 2015 Thc Authors. Published by Elsevier B.V.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available