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

Citation Author(s):
Ayman
Al-Badawi
Jordan University of Science and Technology
Submitted by:
Ayman Al-Badawi
Last updated:
Mon, 07/08/2024 - 15:59
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 of evolutionary algorithms
Links:
Paper preview on Researchgate
License:
Creative Commons Attribution
40 Views
Categories:
Artificial Intelligence
Signal Processing
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

Comments

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Submitted by Ayman Al-Badawi on Fri, 11/05/2021 - 18:23

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Submitted by Ayman Al-Badawi on Sun, 04/09/2023 - 07:19

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