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Proceedings ArticleDOI

Unequally spaced linear antenna arrays synthesis based on genetic algorithm

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TLDR
The analysis for the assembling of non-uniform, linear arrays based on Genetic Algorithm is presented and the GA optimization techniques generate the locations of the elements for reducing the side-lobe level.
Abstract
The analysis for the assembling of non-uniform, linear arrays based on Genetic Algorithm is presented. The GA optimization techniques generate the locations of the elements for reducing the side-lobe level. Results are presented for the placement of 20 elements under the design of a 15.5 λ. linear array. The scanning properties of the designed arrays are also investigated. According to the optimized results, patch antenna arrays are simulated by Ansys HFSS software to verify the optimization technique.

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Optimum design of a tri-band MPA with parasitic elements for CubeSat communications using Genetic Algorithm

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Design of a Linear Antenna Array: Variable Number of Dimensions Approach

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Comprehensive intelligent optimization of an N-element uniform linear array using genetic algorithms and adaptive filtering

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Research on the Secant Squared Beamforming Antenna for Building Coverage

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Optimizing the Array Factor of a Phased Array Antenna (PAA) using a genetic algorithm

TL;DR: In this article , a genetic algorithm was developed for optimizing a planar (2D) Phased Array Antenna, using a custom objective function so that the Array Factor has specific characteristics, in terms of directivity, beamwidth and side-lobe level (SLL).
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