Pattern synthesis of linear antenna arrays using a genetic algorithm with physical size constraint

Matthew B. Hawes, Wei Liu

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

5 Citations (Scopus)

Abstract

Sparse arrays are often employed to reduce the number of antennas used in an array while maintaining a desired spatial resolution and avoiding or reducing the effect of grating lobes. The locations of the antennas in the array affect the beam pattern obtained and they are often optimized by some nonlinear optimisation techniques. This paper presents a method of optimising the antenna locations using a genetic algorithm, while imposing a physical size constraint of the individual antennas. This ensures that the antennas can all physically fit into the locations that result from the optimization process. The fitness value of each individual in the algorithm is calculated based on a least squares formulation. Both multiband and wideband antenna array design examples are provided to show the validity of the proposed method.

Original languageEnglish
Title of host publicationProceedings of 6th European Conference on Antennas and Propagation, EuCAP 2012
Pages3046-3049
Number of pages4
DOIs
Publication statusPublished - May 2012
Event6th European Conference on Antennas and Propagation, EuCAP 2012 - Prague, Czech Republic
Duration: 26 Mar 201230 Mar 2012

Publication series

NameProceedings of 6th European Conference on Antennas and Propagation, EuCAP 2012

Conference

Conference6th European Conference on Antennas and Propagation, EuCAP 2012
Country/TerritoryCzech Republic
CityPrague
Period26/03/1230/03/12

ASJC Scopus subject areas

  • Computer Networks and Communications

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