Artificial Neural Design of Microstrip Antennas

A general design procedure is suggested for microstrip antennas using artificial neural networks and this is demonstrated using rectangular patch geometry. In this design procedure, synthesis is defined as the forward side and then analysis as the reverse side of the problem. Worked examples are given using the most efficient materials.

Artificial Neural Design of Microstrip Antennas

A general design procedure is suggested for microstrip antennas using artificial neural networks and this is demonstrated using rectangular patch geometry. In this design procedure, synthesis is defined as the forward side and then analysis as the reverse side of the problem. Worked examples are given using the most efficient materials.

___

  • C.A. Balanis, Antenna Theory, John Wiley & Sons, Inc., 1997.
  • I.J. Bahl, P. Bhartia, Microstrip Antennas, Dedham, MA, Artech House, 1980.
  • D.M. Pozar, “Microstrip Antennas”, Proc. IEEE, Vol. 80, pp.79-81, January, 1992.
  • S¸. Sa˘gıro˘glu, K. G¨uney, “Calculation of resonant frequency for an equilateral triangular microstrip antenna using artiŞcial neural Networks”, Microwave Opt. Technology Lett., Vol. 14, pp. 89-93, 1997.
  • S¸. Sa˘gıro˘glu, K. G¨uney, M. Erler, “Resonant frequency calculation for circular microstrip antennas using artiŞcial neural networks”, International Journal of RF and Microwave Computer-Aided Engineering,Vol. 8, No. 3, pp. 270-277, 1998.
  • D. Karabo˘ga, K. G¨uney, S¸. Sa˘gıro˘glu, M. Erler, “Neural computation of resonant frequency of electrically thin and thick rectangular microstrip antennas”, Microwaves, Antennas and Propagation, IEE Proceedings-Vol. 146, No. 2, pp. 155 – 159, April 1999.
  • K. G¨uney, S¸. Sa˘gıro˘glu, M. Erler, “Generalized neural method to determine resonant frequencies of various microstrip antennas”, International Journal of RF and Microwave Computer-Aided Engineering, Vol. 12, No. 1, pp. 131-139, January 2002.
  • S¸. Sa˘gıro˘glu, K. G¨uney, M. Erler, “Calculation of bandwidth for electrically thin and thick rectangular microstrip antennas with the use of multilayered perceptrons”, International Journal of RF and Microwave Computer-Aided Engineering, Vol. 9, No. 3, pp. 277-286, May 1999.
  • R.K. Mishra, A. Patnaik, “Neural network-based CAD model for the design of square-patch antennas”, Antennas and Propagation, IEEE Transactions, Vol. 46, No. 12, pp. 1890 – 1891, December 1998.
  • S. Devi, D.C. Panda, S.S. Pattnaik, “A novel method of using artiŞcial neural networks to calculate input impedance of circular microstrip antenna”, Antennas and Propagation Society International Symposium, Vol. 3, pp. 462 – 465, 16-21 June 2002.
  • K. G¨uney, N. Sarıkaya, “ArtiŞcial neural networks for calculating the input resistance of circular microstrip antennas”, Microwave and Optical Technology Letters, Vol. 37, No. 2, pp. 107-111, 20 April 2003.
  • G. Angiulli, M. Versaci, “Resonant frequency evaluation of microstrip antennas using a neural-fuzzy approach”, Magnetics, IEEE Transactions, Vol. 39, No. 3, pp. 1333 – 1336, May 2003.
  • R.K. Mishra, A. Patnaik, “Neurospectral computation for input impedance of rectangular microstrip antenna”, Electronics Letters, Vol. 35, No. 20, pp. 1691 – 1693, 30 Sept. 1999.
  • R.K. Mishra, A. Patnaik, “Designing rectangular patch antenna using the neurospectral method”, Antennas and Propagation, IEEE Transactions, Vol. 51, No. 8, pp. 1914 – 1921, Aug. 2003.
  • N. T¨urker, F. G¨une¸s, “Neural Networks in Use of Function/Inverse Function Approximators for RF/Microwave Transmission Line Problems”, Int. Symposium on Innovations in Intelligent Systems and Applications, June 15-18, 2005, Istanbul, Turkey.
  • Q. J. Zhang, K. C. Gupta, Neural Networks for RF and Microwave Design, Artech House Publishers, 2000.
  • J. Park, W. I. Sandberg, “Universal Approximation Using Radial Basis Function Networks”, Neural Computa- tion, Vol. 3, pp. 246-257, 1991.