Hostname: page-component-cd9895bd7-gbm5v Total loading time: 0 Render date: 2024-12-26T17:24:01.035Z Has data issue: false hasContentIssue false
  • English
  • Français

Bandwidth enhancement of patch antennas using neural network dependent modified optimizer

Published online by Cambridge University Press:  10 April 2015

Satish K. Jain
Satish K. Jain*
Affiliation:
Department of Electronics and Telecommunication Engineering, Shri Govind Ram Sakseria Institute of Technology and Science, Nehru Park Road, Indore, MP 452003, India. Phone: +91 731 2544415
*
Corresponding author: S.K. Jain Email: [email protected]
Get access Rights & Permissions [Opens in a new window]

Abstract

Since a conventional microstrip patch antenna is inherently a narrowband radiator, stacked-patch antennas are commonly used either to enhance the bandwidth or to achieve multi-band characteristics. However, the stacked patch structure has a number of geometrical variables which need to be optimized to achieve the desired characteristics. The conventional design procedure involves repeated costly and time-consuming simulations on an electromagnetic simulator to optimize the various geometrical parameters to arrive at the desired radiation characteristics. In this paper, the task of stacked patch antenna design has been approached as an optimization problem. In order to make a faster CAD module for the stacked-antenna design problem, the simulator has been replaced by a trained artificial neural network (ANN) and embedded in a particle swarm optimization algorithm (PSOA). The ANN is helpful in constructing the “function mapping black-box”, which can relate the frequencies and associated bandwidths of the antenna with its dimensional parameters. The role of the PSOA is to decide the geometrical parameters of the antenna, in response to the designer-specified frequencies and bandwidths. In order to validate the authenticity of the proposed method, a number of antennas have been designed, fabricated, and tested in the laboratory. Simulated and measured results have been compared which establish the accuracy of the proposed technique.

Keywords

Antenna designModeling and measurementsAntennas and propagation for wireless systems
Type
Research Papers
Information
International Journal of Microwave and Wireless Technologies , Volume 8 , Issue 7 , November 2016 , pp. 1111 - 1119
Copyright
Copyright © Cambridge University Press and the European Microwave Association 2015 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

REFERENCES

[1] Fong, K.S.; Pues, H.F.; Withers, M.J.: Wideband multilayer coaxial fed microstrip antenna element. Electron. Lett., 21 (1985), 497–498.Google Scholar
[2] Targonski, S.D.; Water House, R.B.; Pozar, D.M.: Wideband aperture coupled stacked patch antenna using thick substrates. Electron. Lett., 32 (1996), 1941–1942.Google Scholar
[3] Bhatnagar, P.S.; Daniel, J.P.; Mahdjoubi, K.; Terret, C.: Experimental study on stacked triangular microstrip antenna. Electron. Lett., 22 (1986), 864–865.Google Scholar
[4] Ooi, B.L.; Lee, C.L.: Broadband air-filled stacked U-slot patch antenna. Electron. Lett., 35 (1999), 515–517.Google Scholar
[5] Croq, F.; Pozar, D.M.: Millimeter wave design of wide-band aperture-coupled stacked microstrip antenna. IEEE Trans. Antennas Propag., 39 (1991), 1770–1776.Google Scholar
[6] Ooi, B.L.; Qin, S.; Leong, M.S.: Novel design of broad-band stacked patch antenna. IEEE Trans. Antennas Propag., 50 (2002), 1391–1395.Google Scholar
[7] Croq, F.; Papiernik, A.: Stacked slot coupled printed antennas. IEEE Microw. Guid. Wave Lett., 10 (1991), 288–290.Google Scholar
[8] Bahl, I.J.; Bhartia, P.: Microstrip Antennas, Artech House, Dedham, MA, 1980.Google Scholar
[9] Pozar, D.M.; Schaubert, D.H.: Microstrip Antennas: The Analysis and Design of Microstrip Antennas and Arrays, IEEE Press, New York, 1995.Google Scholar
[10] Jain, S.K.; Jain, S.: Performance analysis of coaxial fed stacked patch antennas. Frequenz J. RF-Eng. Telecomm., 3 (2014), 1–12.Google Scholar
[11] Anguera, J.; Puente, C.; Borja, C.: A procedure to design stacked microstrip patch antennas based on a simple network model. Microw. Opt. Technol. Lett., 30 (2001), 149–151.Google Scholar
[12] Kennedy, J.; Eberhart, R.: Particle swarm optimization, in IEEE Int. Conf. Neural Networks IV Proc., Lecture Notes in Computer Science 4628, Piscataway, NJ, 1995, 1942–1948.Google Scholar
[13] Robinson, J.; Samii, Y.R.: Particle swarm optimization in electromagnetic. IEEE Trans. Antennas Propag., 52 (2004), 397–407.Google Scholar
[14] Yilmaz, A.E.; Kuzuoglu, M.: Calculation of optimized parameters of rectangular microstrip patch antenna using particle swarm optimization. Microw. Opt. Tech. Lett., 49 (2007), 2905–2907.Google Scholar
[15] Jin, N.; Samii, Y.R.: Parallel particle swarm optimization and finite time-domain (PSO/FDTD) algorithm for multiband and wide-band patch antenna designs. IEEE Trans. Antennas Propag., 53 (2005), 3459–3468.Google Scholar
[16] Jain, S.K.; Patnaik, A.; Sinha, S.N.: Design of custom-made stacked patch antennas: a machine learning approach. Int. J. Mach. Learning Cybern. (Springer), 4 (2013), 189–194.Google Scholar
[17] Balanis, C.A.: Antenna Theory: Analysis and Design, New York, John Wiley, Inc., 2003.Google Scholar
[18] Jain, S.K.; Sinha, S.N.; Patnaik, A.: Analysis of coaxial fed dual patch multilayer X/Ku band antenna using artificial neural networks, in Int. Symp. on Biologically Inspired Computing and Applications (BICA 09), Bhubanesawar (Orissa) India, December 2009, 1111–1114.Google Scholar
[19] Jain, S.K.; Patnaik, A.; Sinha, S.N.: Neural network based particle swarm optimizer for design of dual resonance X/Ku band stacked patch antenna, in IEEE Int. Symp. on Antennas and Propagation (APS-URSI), Spokane Washington USA, July 2011, 2932–2935.Google Scholar
[20] Jain, S.K.: Jain, S.: Neurocomputational analysis of coaxial fed stacked patch antennas for satellite and WLAN applications. Int. J. Prog. Electromagn. Res. (PIERC), 42 (2013), 125–135.Google Scholar
[21] Haykins, S.: Neural Networks-A Comprehensive Foundation, 2nd ed., Prentice-Hall, Inc., Boston, 1999.Google Scholar
[22] Zurada, J.M.: Introduction to Artificial Neural Systems, Jaico Publishing House, Mumbai, 2006.Google Scholar