Compact meandered dipole array presenting super-realized gain

Donal Lynch, Mengran Zhao, Aaron Graham, Stylianos Assimonis

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Abstract

This paper presents a comprehensive study of a compact two-element meandered dipole array aimed at achieving super-realized gain. An optimization was performed using a Genetic Algorithm (GA) implemented in MATLAB, targeting the maximization of the realized gain in the end-fire direction. Three excitation schemes were evaluated: the conventional optimization approach to achieve superdirectivity (signal magnitude and phase angle), phase-only optimization, and uniform excitation (characterized by equal amplitude and no phase shift). The results show that by carefully optimizing both the signal magnitudes and phase angles, the array could achieve a substantial improvement in realized gain. Phase-only optimization provided a competitive realized gain with only minor reductions compared to conventional optimization, suggesting that optimizing the signal phase alone can be an effective strategy for compact practical implementations.
Original languageEnglish
Title of host publication2025 19th European Conference on Antennas and Propagation (EuCAP): Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9788831299107
ISBN (Print)9798350366327
DOIs
Publication statusPublished - 21 May 2025
Event19th European Conference on Antennas and Propagation 2025 - Stockholm, Sweden
Duration: 30 Mar 202504 Apr 2025
https://eucap.org/

Publication series

NameEuCAP Proceedings
ISSN (Print)2164-3342

Conference

Conference19th European Conference on Antennas and Propagation 2025
Abbreviated titleEuCAP 2025
Country/TerritorySweden
CityStockholm
Period30/03/202504/04/2025
Internet address

Publications and Copyright Policy

This work is licensed under Queen’s Research Publications and Copyright Policy.

Keywords

  • Phased arrays
  • Dipole antennas
  • Couplings
  • Directional antennas

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