Comparison of MATLAB and GA optimization for three-dimensional pattern synthesis of circular arc arrays

Aycan Erentok, Kathleen L Melde

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Scopus citations

Abstract

A three-dimensional (3D) circular arc array synthesis model was developed using genetic algorithms (GA) and MATLAB optimization methods. A circular arc array consists of an array of N directional elements that are arranged in a circular sector or arc in the x-y plane. The key objective of using these programs is to maximize the directivity for a specified peak sidelobe level in a given theta plane. The comparisons of the 2D and 3D optimization results using different circular arc array configurations showed that MATLAB-based optimization function is also a good optimization method for circular arc array synthesis problem.

Original languageEnglish (US)
Title of host publicationIEEE Antennas and Propagation Society, AP-S International Symposium (Digest)
Pages2683-2686
Number of pages4
Volume3
Publication statusPublished - 2004
EventIEEE Antennas and Propagation Society Symposium 2004 Digest held in Conjunction with: USNC/URSI National Radio Science Meeting - Monterey, CA, United States
Duration: Jun 20 2004Jun 25 2004

Other

OtherIEEE Antennas and Propagation Society Symposium 2004 Digest held in Conjunction with: USNC/URSI National Radio Science Meeting
CountryUnited States
CityMonterey, CA
Period6/20/046/25/04

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ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Cite this

Erentok, A., & Melde, K. L. (2004). Comparison of MATLAB and GA optimization for three-dimensional pattern synthesis of circular arc arrays. In IEEE Antennas and Propagation Society, AP-S International Symposium (Digest) (Vol. 3, pp. 2683-2686)