Study of resonant microstrip antennas on artificial neural networks

  • Gauri Shankar +2 Govt. BKD Boys High School, Darbhanga
  • Manish Kumar Dept of Physics, R.N. College, Pandaul, LNMU, Darbhanga
  • Bijendra Mohan Marwari High School, Darbhanga
DOI: https://doi.org/10.17605/ijie.v3i9.623
Keywords: study, resonant, microstrip, antennas, artificial, neral networks

Abstract

This paper presents a new model based on the backpropagation multilayered perception network to find accurately the bandwidth of both electrically thin and thick rectangular microstrip antennas. This proposed neural model does not require complicated Green's function methods and integral transformation techniques. The method can be used for a wide range of substrate thickness and permittivities and is useful for the computer-aided design of microstrip antennas. The results obtained by using this new method are in conformity with those reported elsewhere. This method may find wide applications in high-frequency printed antennas, especially at the millimeter-wave frequency range.

References

Uzunoglu, N.K., Alexopoulos, N.G. and Fikioris, J.G., 1979, Radiation properties of microstrip dipoles. IEEE Transactions on Antennas and Propagation, 27,853-858.

Vander Paw, L.J., 1977, The radiation of electromagnetic power by microstrip configurations. IEEE Transactions on Microwave Theory and Techniques, 25,719-725.

Perlmutter, P., Shtrikman, S. and Treves, D., 1985, Electric surface current model for the analysis of microstrip antennas with application to rectangular elements. IEEE Transactions on Antennas and Propagation, 33, 301-311.

Haykin, S., 1994, Neural Networks: A Comprehensive Foundation (Macmillan College Publishing Company, New York, USA), ISBN 0-02352761-7.

Pozar, D.M., 1983, Input impedance and mutual coupling of rectangular microstrip antennas. IEEE Transactions on Antennas and Propagation, 30, 1191-1196.

Published
2020-09-18
How to Cite
[1]
Gauri Shankar, Manish Kumar and Bijendra Mohan 2020. Study of resonant microstrip antennas on artificial neural networks. International Journal on Integrated Education. 3, 9 (Sep. 2020), 218-223. DOI:https://doi.org/10.17605/ijie.v3i9.623.
Issue
Vol. 3 No. 9 (2020): IJIE
Section
Articles

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