Decision Variables of class of evolutionary algorithms for Linear Antenna Array Design

Name: Decision Variables of class of evolutionary algorithms for Linear Antenna Array Design
Creator: Ayman Al-Badawi
License: https://creativecommons.org/licenses/by/4.0/

Citation Author(s):: Ayman Al-Badawi (Jordan University of Science and Technology)
Submitted by:: Ayman Al-Badawi
Last updated:: Mon, 07/08/2024 - 19:59
DOI:: 10.21227/z5te-qz36
Data Format:: Excel Spreadsheets
Research Article Link:: On the optimal design of low sidelobe level linear antenna arrays using a class…
Links:: Paper preview on Researchgate

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Categories:

Keywords:

evolutionary computation

antenna arrays

low sidelobe level

beam steering.

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Abstract

Decision variables of the best run for each algorithm

Instructions:

Best solutions of all algorithm are listed in one excel spreadsheet for each problem.

File consists of eight spreadsheets.

each problem solution may be composed of excitation amplitudes (I), excitation phases (ph), separating distances (d), or any combination of these parameters.

Refer to paper if antenna array is symmetric or asymmetric.

excitation phases are listed in radians

the corresponding excitation phases of ULAA of problem 6 can be generated based on equation (15)

the excitation amplitudes of the Dolph-Chebyshev LAA of problem 8 can be generated using chebwin function in Matlab