Numerically Efficient Miniaturization-Oriented Optimization of an Ultra-Wideband Spline-Parameterized Antenna - Publication - Bridge of Knowledge

Search

Numerically Efficient Miniaturization-Oriented Optimization of an Ultra-Wideband Spline-Parameterized Antenna

Abstract

Design of ultra-wideband radiators for modern handheld applications is a challenging task that involves not only selection of an appropriate topology, but also its tuning oriented towards balancing the electrical performance and size. In this work, a low-cost design of a compact, broadband, spline-parameterized monopole antenna has been considered. The framework used for the structure design implements trust-region-based methods, space mapping correction mechanisms, and a meta-optimization loop that permits a gradual increase of the problem dimensionality. The optimized structure is characterized by small dimensions of 11.4 mm × 17.2 mm and an overall footprint of only 195 mm2. The radiator operates within 3.1 GHz to 12 GHz bandwidth with the reflection coefficient amplitude level of around –10 dB. The computational cost of the structure design amounts to just 163 simulations of the high-fidelity EM model, which is low having in mind that the antenna is represented by a total of 38 adjustable parameters. The optimized radiator has been compared against state-of-the-art structures from the literature. Benchmarking of the presented optimization algorithm has also been performed. Numerical results have been confirmed by measurements of the fabricated antenna prototype.

Citations

  • 5

    CrossRef

  • 0

    Web of Science

  • 6

    Scopus

Keywords

Details

Category:
Articles
Type:
artykuły w czasopismach
Published in:
IEEE Access no. 10, pages 21608 - 21618,
ISSN: 2169-3536
Language:
English
Publication year:
2022
Bibliographic description:
Bekasiewicz A., Kurgan P., Kozieł S.: Numerically Efficient Miniaturization-Oriented Optimization of an Ultra-Wideband Spline-Parameterized Antenna// IEEE Access -Vol. 10, (2022), s.21608-21618
DOI:
Digital Object Identifier (open in new tab) 10.1109/access.2022.3152736
Sources of funding:
  • Free publication
Verified by:
Gdańsk University of Technology

seen 143 times

Recommended for you

Meta Tags