Design of dual-frequency probe-fed microstrip antennas with genetic optimization algorithm

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Ozgun O., Mutlu S., Aksun M., Alatan L.

IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION, vol.51, no.8, pp.1947-1954, 2003 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 51 Issue: 8
  • Publication Date: 2003
  • Doi Number: 10.1109/tap.2003.814732
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.1947-1954
  • Keywords: genetic algorithms, microstrip antennas, multiple band antennas, multiport circuits, SLOT, OPERATION, ELEMENTS, MOMENTS, PATCH
  • Middle East Technical University Affiliated: No


Dual-frequency operation of antennas has become a necessity for many applications in recent wireless communication systems, such as GPS, GSM services operating at two different frequency bands, and services of PCS and IMT-2000 applications. Although there are various techniques to achieve dual-band operation from various types of microstrip antennas, there is no efficient design tool that has been incorporated with a suitable optimization algorithm. In this paper, the cavity-model based simulation tool along with the genetic optimization algorithm is presented for the design of dual-band microstrip antennas, using multiple slots in the patch or multiple shorting strips between the patch and the ground plane. Since this approach is based on the cavity model, the multiport approach is efficiently employed to analyze the effects of the slots and shorting strips on the input impedance. Then, the optimization of the positions of slots. and shorting strips is performed via a genetic optimization algorithm, to achieve an acceptable antenna operation over the desired frequency bands. The antennas designed by this efficient design procedure were realized experimentally, and the results are compared. In addition, these results are also compared to the results obtained by the commercial electromagnetic simulation tool, the FEM-based software HFSS by ANSOFT.