Wireless and Mobile Technologies
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Wireless and Mobile Technologies. 2016, 3(1), 7-12
DOI: 10.12691/wmt-3-1-2
Open AccessArticle

Design and Optimization of Coplanar Capacitive Coupled Probe Fed MSA Using ANFIS

Gaurav Shete1 and Veerseh G. Kasabegoudar1,

1P. G. Department, MBES College of Engineering, Ambajogai, India

Pub. Date: December 27, 2016

Cite this paper:
Gaurav Shete and Veerseh G. Kasabegoudar. Design and Optimization of Coplanar Capacitive Coupled Probe Fed MSA Using ANFIS. Wireless and Mobile Technologies. 2016; 3(1):7-12. doi: 10.12691/wmt-3-1-2

Abstract

In this paper, an optimization method based on adaptive Neuro-Fuzzy inference system (ANFIS) for determining the parameters used in the design of a coplanar capacitive coupled probe fed rectangular microstrip antenna. The antenna was analyzed in the 2-10GHz range to demonstrate universal working of the proposed model. Here, an expert knowledge of fuzzy inference system (FIS) and the learning capability of artificial neural network (ANN) have been embedded (ANFIS). By calculating and optimizing the patch dimensions of a rectangular microstrip antenna with air gap, this paper shows that ANFIS produces good results that are in agreement with the mathematical analysis of the design parameters of antenna. Of the parameters considered for optimization, the error difference (average) between the proposed model and the calculated data is 0.21% for L, 0.41% for W, and 0.2% for air gap which are less than 0.5% and acceptably low.

Keywords:
ANFIS Patch W Air gap g Patch L Wireless Communication

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References:

[1]  K.V. Rop, D. B. Konditi, H.A. Ouma, and S.M. Musyoki, “Parameter optimization in drsign of rectangular microstip patch antenna using ANFIS technique,” International Journal on “Technical and Physical Problems of Engineering, vol. 12, no. 3, Sep. 2012.
 
[2]  V. G. Kasabegoudar, D. S. Upadhyay, and K. J. Vinoy, “Design studies of ultra-wideband microstrip antennas with a small capacitive feed,” International Journal of Antennas and Propagation, vol. 2007, pp. 1-8, 2007.
 
[3]  I. Singh et. al., “Microstrip patch antenna and its applications: a survey,” Int. J. Comp. Tech. Appl., vol.2, pp. 1595-1599, 2011.
 
[4]  K. Guney and N. Sirikaya, “Adaptive neuro-fuzzy inference system for computing of the resonant frequency of circular microstrip antennas,” ACES Journal, vol. 19, no. 3, pp. 188-197, 2004.
 
[5]  N. Turker, F. Gunes, and T. Yildirim, “Artificial neural design of microstrip antennas,” Turk J. Elec Engin, Tubitak, vol. 14, no. 3, pp. 445-453, 2006.
 
[6]  C. A. Balanis, Antenna Theory-Analysis and Design, John Wiley & Sons Inc., 2nd Edition, 1997.
 
[7]  R.A. Saeed and K. Sabira, “Design of microstrip antenna for WLAN,” Journal of Applied Sciences, vol. 5, no. 1, pp. 47-51, 2005.
 
[8]  B. Milovanovic, M. Milijic, A. Atanaskovic, and Z. Stankovic, “Modeling of patch antennas using neural networks,” Int. Conf. on Telecommunications in Modern Satellite, Cable and Broadcasting Services (TELSIKS), pp. 386-388, 2005.
 
[9]  K. Guney and N. Sarikaya, “Adaptive neuro-fuzzy inference systems for computation of the bandwidth of electrically thin and thick rectangular microstrip antennas,” Electrical Engineering Journal, vol. 88, pp. 201-210, 2004.
 
[10]  N.K. Kasabov, Foundations of Neural Networks, Fuzzy Systems, and Knowledge Engineering, The MIT Press Cambridge, Massachusetts London, England, 1996.
 
[11]  J. S. R. Jang, “ANFIS: adaptive-network-based fuzzy inference system,” IEEE Transactions on Systems, MAN, and Cybernetics, vol. 23, no.3, pp. 665-685, 1993.
 
[12]  S. N. Sivanandam, S. Sumathi, and S. N. Deepa, Introduction to Fuzzy Logic Using MATLAB, Springer-Verlag Berlin Heidelberg, 2007.
 
[13]  Z. I. Dafalla, W.T.Y. Kuan, A.M. Abdel Rahman, and S.C. Shudakar, “Design of a rectangular microstrip patch antenna at 1GHz,” RF and Microwave Conference, Subang, Selangor, Malaysia, pp. 145-149, 2004.
 
[14]  A.B. Mutiara, R. Refianti, and Rachmansyah, “Design of microstrip antenna for wireless communication at 2.4 GHz,” Journal of Theoretical and Applied Information Technology, vol. 33 no.2, pp.184-192, 30th Nov., 2011.
 
[15]  M. Aneesh, Jamshed A. Ansari, Ashish Singh, Kamakshi, and Saiyed S. Sayeed, “Analysis of Microstrip line feed slot loaded patch antenna using artificial neural network,” Progress in Electromagnetic Research M, vol.58, pp. 35-46, 2014.
 
[16]  V. V. Thakare and P. K. Singhal, “Bandwidth analysis by introducing slots in microstrip antenna design using ANN,” Progress in Electromagnetic Research M, vol. 9, pp. 107-122, 2009.
 
[17]  L. H. Manh, F. Grimaccia, M. Mussetta, and R. E. Zich, “Optimization of a dual ring antenna by means of artificial neural network,” Progress in Electromagnetics Research B, vol. 58, pp. 59-69, 2014.
 
[18]  J. S. Sivia, A. P. S. Pharwaha, and T. S. Kamal, “Analysis and design of circular fractal antenna using artificial neural networks,” Progress in Electromagnetics Research B, vol. 56, pp. 251-267, 2013.
 
[19]  V.G. Kasabegoudar and K.J. Vinoy, “Coplanar capacitively coupled probe fed microstrip antennas for wideband applications,” IEEE Trans. Antennas Propagat., vol. 58, no. 10, pp. 3131-3138, 2010.