New optimization approach in the design of E-shaped patch antenna

  • Authors:

  • Abbas Lotfi Neyestanak;Farrokh Hojjat Kashani;Masood Khosroshahy

  • Affiliations:

  • Electrical Engineering, Iran University of Science & Technology, Narmak, Tehran, I.R.Iran;Electrical Engineering, Iran University of Science & Technology, Narmak, Tehran, I.R.Iran;Electrical Engineering, Iran University of Science & Technology, Narmak, Tehran, I.R.Iran

  • Venue:
  • Math'04 Proceedings of the 5th WSEAS International Conference on Applied Mathematics
  • Year:
  • 2004

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Abstract

In this paper, the bandwidth of the E-shaped microstrip antenna is optimized using the genetic algorithm (GA) based on fuzzy decision-making. The method of moments is employed for analysis at the frequency band of 1.8GHz - 2.6GHz by the optimization parameters of supply locations and slot dimensions. In the implemented fuzzy system, inputs are parameters like population, and outputs are parameters such as recombination to produce the next generation. Fuzzy inference system is used for the controlling of the genetic algorithm parameters. Simulation results show the high capability of genetic optimization based on fuzzy system and hence reaching a bandwidth of about 33.4%. The measured results of the optimized antenna validate a high compatibility between the simulation and the measurements.