Abstract: In this paper, we propose an artificial neural network (ANN) in conjunction with spectral domain formulation for fast and accurate determination of the resonant frequency and bandwidth of circular microstrip antenna with and without air gap. This neurospectral approach reduces the problem complexity. The results obtained from the neural model are in very good agreement with the experimental results available in the literature. Finally, numerical results for the air gap tuning effect on the resonant frequency and bandwidth of circular microstrip structure are also presented.
DOI: *As the DOI is a unique identifier, it is already available in the pdf version. **The DOI link will be activated in the first midst of January 2026.
Sami Bedra, Randa Bedra, "Radiation Characteristics of Circular Microstrip Patch Antenna with and without Air Gap Using Neuro-Spectral Computation Approach," WSEAS Transactions on Communications, vol. 13, pp. 340-347, 2014, DOI:
Sami Bedra, Randa Bedra. Radiation Characteristics of Circular Microstrip Patch Antenna with and without Air Gap Using Neuro-Spectral Computation Approach.
WSEAS Transactions on Communications. 2014;13:340-347.