Multiobjective antenna array design using the method of genetic algorithms

  • Authors:

  • Stelios A. Mitilineos;Ioannis I. Heretakis;Nickolas Chatziathanassiou;Stelios C. A. Thomopoulos;Christos N. Capsalis

  • Affiliations:

  • National Technical University of Athens, Department of Electrical and Computer Engineering, Division of Information Transmission Systems and Material Technology, Athens, Greece;National Technical University of Athens, Department of Electrical and Computer Engineering, Division of Information Transmission Systems and Material Technology, Athens, Greece;National Technical University of Athens, Department of Electrical and Computer Engineering, Division of Information Transmission Systems and Material Technology, Athens, Greece;National Center for Scientific Research "Demokritos", Institute of Informatics and Telecommunications, Athens, Greece;National Technical University of Athens, Department of Electrical and Computer Engineering, Division of Information Transmission Systems and Material Technology, Athens, Greece

  • Venue:
  • ICCOM'05 Proceedings of the 9th WSEAS International Conference on Communications
  • Year:
  • 2005

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Abstract

A multiobjective stochastic optimization technique is presented for the design of antenna arrays with given radiation pattern specifications. The technique utilizes the method of genetic algorithms and the proper objective functions are selected for the optimized array design. The technique has been implemented for the case where the arrays consist of vertical dipoles. The parameters of the GA include the elements positions, the array voltage excitation coefficients (amplitude and phase) and the radius and length of the dipoles. The array elements can either be arbitrarily placed, forming a non-uniform configuration or they can arrange a circular, uniform, dual band array. In the latter case, the array and dipole characteristics are optimized by the GA for dual band operation, while different current coefficients have to be evaluated for each frequency. The presented results demonstrate the effectiveness, the versatility and applicability of the proposed technique.