Journal of
Engineering and Technology Research

  • Abbreviation: J. Eng. Technol. Res.
  • Language: English
  • ISSN: 2006-9790
  • DOI: 10.5897/JETR
  • Start Year: 2009
  • Published Articles: 198

Full Length Research Paper

Neural network based CAD model for the design of rectangular patch antennas

Vandana Vikas Thakare1* and Pramod Singhal2
  1Department of Electronics and Instrumentation Engineering, Engineering College, Keetham, Agra, India, 282007.  2Department of Electronics Engineering, Madhav Institute of Technology and Science, Gwalior, India.
Email: [email protected]

  •  Accepted: 01 September 2009
  •  Published: 31 October 2009

Abstract

 

A new method of calculation of patch dimensions of a rectangular microstrip patch antennas using Artificial Neural Network (ANN) has been adopted in this paper. An ANN model has been developed and tested for rectangular patch antenna design. It transforms the data containing the dielectric constant (εr), thickness of the substrate (h), and antenna’s dominant-mode resonant frequency (fr) to the patch dimensions that is length (l) and width (w) of the patch. The results obtained using ANNs are compared with the simulation findings. The simulated values are obtained by designing the microstrip antenna using IE3D electromagnetic simulator. The ANNs results are more in agreement with simulation findings.

 

Key words: Microstrip antenna, bandwidth, simulation, modelling, neural networks, CAD.

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This article is published under the terms of the Creative Commons Attribution License 4.0

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