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Simulating Imaging of Large Scale Radio Arrays on the Lunar Surface

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Published on: July 30, 2020

Versatile unsupervised design of antennas using flexible parameterization and computational intelligence methods.

Slawomir Koziel^1,2, Anna Pietrenko-Dabrowska³, Stanislaw Szczepanski³

¹Engineering Optimization & Modeling Center, Reykjavik University, 102, Reykjavik, Iceland. koziel@ru.is.

Scientific Reports

|November 29, 2024

Summary

This study introduces an automated method for designing planar antennas, significantly reducing development time and expert involvement. The approach uses re-sizable elliptical patches and computational intelligence to create diverse antenna geometries efficiently.

Keywords:

Antenna parameterization Bio-inspired optimization Design automation Machine learning Unsupervised design

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Area of Science:

Electrical Engineering
Computational Electromagnetics
Antenna Theory

Background:

Antenna design is complex, requiring extensive engineering expertise and time for topology and geometry optimization.
Current methods are iterative and manual, limiting the exploration of potential antenna designs and increasing time-to-market.

Purpose of the Study:

To develop an automated, unsupervised procedure for designing planar antennas.
To reduce the time and human expert involvement required for antenna development.
To enable the creation of diverse and unconventional antenna topologies.

Main Methods:

Leveraging flexible antenna parameterization with re-sizable elliptical patches.
Employing computational intelligence methods for antenna evolution based on specifications and constraints.
Utilizing low-cost local search routines for fine-tuning antenna geometry.

Main Results:

Successfully designed several planar antennas with distinct characteristics (broadband, single-, dual-, and triple-band).
Demonstrated the versatility and capability of the automated approach through experimental validation.
Achieved unconventional topologies at reasonably low computational expenses.

Conclusions:

The proposed unsupervised antenna development procedure is versatile and efficient.
This method significantly reduces the reliance on human experts and accelerates the design process.
The approach offers a cost-effective solution for generating complex and functional antenna designs.