Wide Band Patch antenna using Defect Ground Structure Optimizing by Genetic Algorithm


  • Omar El Maleky Laboratory Materials and Radiation Abdelmalek Essaadi University Tetouan, Morocco
  • Farid Ben Abdelouahab Laboratory Materials and Radiation Abdelmalek Essaadi University Tetouan, Morocco
  • Mohammed Essaadi ENSIAS, Mohammed V Souissi University Rabat, Morocco




patch antenna, genetic algorithm, broadband, miniaturization, defect ground plan DGS.


The patch antenna is widely used in our life for a lot of its strong points as a low cost, easy and simple fabricated structure, and a code characteristic in radiation profile. But the narrow bandwidth is, however, the main drawback of a microstrip patch antenna. In this paper the bandwidth of a patch antenna is improved by using a technique known as defected ground structure (DGS), and the size of the antenna is optimized using genetic algorithm. As a result, we were able to optimize the size of the initial antenna proposed (50mm * 30mm * 1.55mm) and expand the bandwidth of the patch antenna. The final simulated prototype has a size of 26mm * 20mm * 1.55mm which corresponds to a miniaturization rate equal to 76%. In relation to the initial antenna, the antenna generates a bandwidth of 4.54GHz, from 3.58GHz to 8.12GHz, which means that the antenna covers the following technologies: WLAN Wireless Local Area Network, Radio local area Network, Worldwide Interoperability for Microwave Access  Wimax, Hiper LAN2.


(1) Ayoub, A. F. A., “Analysis of rectangular microstrip antennas with air substrates,” Journal of Electromagnetic Waves and Applications, Vol. 17, No. 12, 1755–1766, 2003.

(2) Wong, K. L. and W. H. Hsu, “Abroad-band rectangular patch antenna with a pair of wide slits,” IEEE Trans. Antennas Propagat., Vol. 49, No. 9, 1345–1347, September 2001.

(3) Yu, A. and X. X. Zhang, “A method to enhance the bandwidth of microstrip antennas using a modified E-shaped patch,” Proceedings of Radio and Wireless Conference, 261–264, Aug. 10– 13, 2003.

(4) Garg, B., R. Tiwari, A. Kumar, and S. K. Thakur, “Design of broadband rectangular microstrippatch antenna inset ‘L’ shaped feed with rectangular ‘L’ slots in ground plane,” International Journal of Computer Applications, Vol. 29, No. 1, Sep. 2011, ISSN: 0975-8887.

(5) Xiao, J.-K. and W.-J. Zhu, “New bandstop filter using simple defected microstrip structure,” Microwave Journal, Sep. 11, 2011.

(6) Ahn, D., J. S. Park, C. S. Kim, J. Kim, Y. Qian, and T. Itoh, “A design of the low-pass filter using the novel microstrip defected ground structure,” IEEE Transactions on Microwave Theory and Techniques, Vol. 49, 86–93, Jan. 2001.

(7) Omar El Maleky, Farid Ben Abdelouahab, Mohamed Essaaidi, Laila Ajana "Reconfigurable T-Shaped Antenna for S-Band Applications" Proc. International Conference on Multimedia Computing and Systems Conf., October.2016

(8) Omar El Maleky, F. B. Abdelouahab, “Frequency Reconfigurable Patch Antenna for Wireless Communication”, International journal of microwave and optical technology, Vol. 12, No.1, pp.45-51, January. 2017.

(9) Sung, Y. J., C. S. Ahn, and Y.-S. Kim, “Size reduction and harmonic suppression of rat-race hybrid coupler using defected ground structure,” IEEE Microwave and Wireless Components Letters, Vol. 14, No. 1, 7–9, Jan. 2004.

(10) Y. Rahmat-Samii and E. Michielssen, Electromagnetic Optimization by Genetic Algorithms, Y. Rahmat-Samii and E. Michielssen, Eds. New York: Wiley, 1999.

(11) K. M. Luk, R. Chair, and K. F. Lee, “Small rectangular patch antenna,” Electron. Lett., vol. 34, pp. 2366–2367, Dec. 1998.

(12) N. Herscovici, M. F. Osorio, and C. Peixeiro, “Minimization of a rectangular patch using genetic algorithms,” in Proc. IEEE Antennas and Propagation Int. Symp., vol. 4, Boston, MA, July 2001, pp. 34–37.

(13) H. Choo, A. Hutani, L. C. Trintinalia, and H. Ling, “Shapeoptimization of broadband microstrip antennas using genetic algorithm,” Electron. Lett., vol. 36, pp. 2057–2058, Dec. 2000.




How to Cite

Maleky, O. E., Abdelouahab, F. B., & Essaadi, M. (2017). Wide Band Patch antenna using Defect Ground Structure Optimizing by Genetic Algorithm. Transactions on Engineering and Computing Sciences, 5(4). https://doi.org/10.14738/tmlai.54.3184



Special Issue : 1st International Conference on Affective computing, Machine Learning and Intelligent Systems