Application of particle swarm algorithm to the optimization of unequally spaced antenna arrays

K. C. Lee, J. Y. Jhang

Research output: Contribution to journalArticlepeer-review

75 Citations (Scopus)

Abstract

In this paper, the particle swarm algorithm is applied to the optimization of unequally spaced antenna arrays. The difference between the peak of main lobe and the peak of the highest side lobe is maximized using the particle swarm algorithm by adjusting the positions and weights of array elements. Restrictions can be easily imposed on the fitness function in the optimization process. Numerical examples show that the optimization results of this study are slightly better than those of other existing studies. The particle swarm algorithm is inherently a stochastic optimization algorithm. It is very easy in formulations and programming. Therefore, it will be very useful in the design of antenna arrays.

Original languageEnglish
Pages (from-to)2001-2012
Number of pages12
JournalJournal of Electromagnetic Waves and Applications
Volume20
Issue number14
DOIs
Publication statusPublished - 2006

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Physics and Astronomy(all)
  • Electrical and Electronic Engineering

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