Artificial Intelligence in the Estimation of Patch Dimensions of Rectangular Microstrip Antennas

Vandana Vikas Thakare, Pramod Singhal
DOI: 10.4236/cs.2011.24046                

Abstract

Artificial Neural Network (ANNs) techniques are recently indicating a lot of promises in the application of various micro-engineering fields. Such a use of ANNs for estimating the patch dimensions of a microstrip line feed rectangular microstrip patch antennas has been presented in this paper. An ANN model has been developed and tested for rectangular patch antenna design. The performance of the neural network has been compared with the simulated values obtained from IE3D EM Simulator. It transforms the data containing the dielectric constant (ε_r), thickness of the substrate (h), and antenna’s dominant-mode resonant frequency (f_r) to the patch dimensions i.e length (L) and width (W) of the patch. The different variants of back propagation training algorithm of MLFFBP-ANN (Multilayer feed forward back propagation Artificial Neural Network) and RBF –ANN (Radial basis function Artificial Neural Network) has been used to implement the network model. The results obtained from artificial neural network when compared with simulation results, found satisfactory and also it is concluded that RBF network is more accurate and fast as compared to different variants of back propagation training algorithms of MLPFFBP. The ANNs results are more in agreement with the simulation findings. Neural network based estimation has the usual advantage of very fast and simultaneous response of all the outputs.

Keywords

Microstrip Antenna, Bandwidth, Simulation, Modelling, Neural Networks, CAD

Conflicts of Interest

The authors declare no conflicts of interest.

References

[1]	R. K. Mishra and A. Patnaik, “Neural Network-Based CAD Model for the Design of Square-Patch Antennas,” IEEE Transactions on Antennas and Propagation, Vol. 46, No. 12, 1998, pp. 1890-1891. doi:10.1109/8.743842
[2]	J. L. Narayan, K. Sri R. Krishna and L. P. Reddy, “Design of Microstrip Antenna Using Artificial Neural Networks,” International Conference on Computational Intelligence and Multimedia Applications, Vol. 1, 2007, pp. 332-334.
[3]	N. Turker, F. Gunes and T. Yildirim, “Artificial Neural Design of Mi-crostrip Antennas,” Turkish Journal of Electrical Engi-neering, Vol. 14, No. 3, 2006, pp. 445-453.
[4]	A. Pat-naik, R. K. Mishra, G. K. Patra and S. K. Dash, “An Ar-tificial Neural Network Model for Effective Dielectric Constant of Microstripline,” IEEE Transactions on An-tennas Propagation, Vol. 45, No. 11, 1997, p. 1697. doi:10.1109/8.650084
[5]	D. Karaboga, K. Giiney, S. Sagiroglu and M. Erler, "Neural Computation of Resonant Frequency of Electrically Thin and Thick Rectangular Microstrip Antennas,” IEEE Proceedings of Microwaves, Antennas and Propagation, Vol. 146, No. 2, 1999, pp. 155-159. doi:10.1049/ip-map:19990136
[6]	S. Sagiroglu, K. Guney and M. Erler, “Computation of Radiation Efficiency for a Resonant Rectangular Microstrip Patch Antenna using Back Propagation Multilayered Perceptrons,” Journal of Electrical and Electronics, Vol. 3, 2003, pp. 663-671.
[7]	Q. J. Zhang and K. C. Gupta, “Neural Networks for RF and Microwave Design,” Artech House Publishers, London, 2000.
[8]	F. Peik, G. Coutts and R. R. Mansour, “Application of Neural Networks in Micro-wave Circuit Modelling,” 1998 IEEE Canadian Confe-rence of Electrical and Computer Engineering, Waterloo, 24-28 May 1998, pp. 928-931.
[9]	S. Devi, D. C. Panda and S. S. Pattnaik, “A Novel Method of Using Artificial Neural Networks to Calculate Input Impedance of Circular Microstrip Antenna,” Antennas and Propagation Society International Symposium, Vol. 3, 2000, pp. 462-465.
[10]	R. K. Mishra and A. Patnaik, “Design of Circular Microstrip Antenna Using Neural Networks,” IETE Journal of Research, Vol. 44, No. 122, 1998, pp. 35-39.
[11]	S. Sagiroglu and K. Guney and M. Erler, “Calculation of Resonant Frequency for an Equilateral Triangular Microstrip Antenna Use with the of Artificial Neural Networks,” Microwave and Optical Technology Letters, Vol. 14, No. 3, 2003, pp. 89-93.
[12]	R. K. Mi-shra and A. Patnaik, “ANN Techniques in Microwave Engineering,” IEEE Microwave Magazine, Vol. 1, 2000, pp. 55-60.
[13]	M. Naser-Moghaddasi, P. D. Barjoei and A. Naghsh, “Heuristic Artificial Neural Network for Analysing and Synthesizing Rectangular Microstrip An-tenna,” International Journal of Computer Science and Network Security, Vol. 7, No. 12, 2007, pp. 278-281.
[14]	V. V. Thakare and P. K. Singhal, “Band-width Analysis by Introducing Slots in Microstrip An-tenna Design Using ANN,” Progress in Electromagnetic Research M, Vol. 9, 2009, pp. 107-122. doi:10.2528/PIERM09093002
[15]	D. M. Pozar, “Microstrip Antennas,” John Wiley and Sons, Hoboken, 1995, pp. 79-81. doi:10.1109/5.119568
[16]	C. A. Bala-nis, “Antenna Theory,” John Wiley & Sons, Hoboken, 1997.
[17]	S. Haykin, “Neural Networks,” 2nd Edition, Prentice-Hall of India, Delhi, 2000.
[18]	M. H. Has-soun,” Fundamentals of Artificial Neural Networks,” Prentice Hall of India, New Delhi, 1999.