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Bandwidth optimization of the E-shaped microstrip antenna using the genetic algorithm based on fuzzy decision making

Lotfi, A. A ; Sharif University of Technology | 2004

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  1. Type of Document: Article
  2. Publisher: 2004
  3. Abstract:
  4. 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 the analysis of the microstrip antenna at the frequency band of 1.8GHz to 2.6GHz by the optimization parameters of supply locations and slot dimensions. Fuzzy inference system is used for the control of the parameters of the genetic algorithm. In the implemented fuzzy system, inputs are parameters like population, and outputs are parameters such as crossover and mutation rates. Simulation results show the genetic algorithm to optimize the bandwidth of the E-shaped microstrip patch by 33.3%. The measured results of the optimized antenna are compatible with the measurements. VSWR is also measured and compared with the numerical data
  5. Keywords:
  6. Microstrip antennas ; Optimization methods ; Frequency ; Slot antennas ; Moment methods ; Antenna measurements ; Fuzzy systems ; Bandwidth ; Genetic algorithms ; Decision making
  7. Source: IEEE Antennas and Propagation Society Symposium 2004 Digest held in Conjunction with: USNC/URSI National Radio Science Meeting, Monterey, CA, 20 June 2004 through 25 June 2004 ; Volume 3 , 2004 , Pages 2333-2336 ; 02724693 (ISSN)
  8. URL: https://ieeexplore.ieee.org/document/1331839