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Abstract
The renowned magnetoelectric dipole (ME-dipole) consists of three primary structural components: a magnetic dipole, an electric dipole, and a feed line. All previous works utilized feed lines to generate filtering radiation, yet they have struggled with low efficiencies, not exceeding 90%. This article introduces a novel method to achieve high efficiency in an ME-dipole filtenna by modifying the magnetic dipole without modifying the feed line and the electric dipole, which has not been utilized for this purpose. The modified magnetic dipole is loaded with numerous free-form parasitic patches to manipulate the equivalent magnetic currents and suppress stopband radiation. However, the complexity of tuning the structural parameters of these patches necessitates an automated approach. To address this, we propose an automatic co-simulation-optimization platform (ACSOP) incorporating the grey wolf optimizer (GWO). This platform automates the development of filtering antennas (filtennas), eliminating the need for prior knowledge of filtering principles. Our proposed ME-dipole filtenna achieves a high efficiency of 93%. © 2024 IEEE.
Original language | English |
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Pages (from-to) | 8947-8957 |
Journal | IEEE Transactions on Antennas and Propagation |
Volume | 72 |
Issue number | 12 |
Online published | 10 Sept 2024 |
DOIs | |
Publication status | Published - Dec 2024 |
Funding
This work was supported in part by the Donation for Research Projects_RMGS under Project 9229014, the National Natural Science Foundation of China (NSFC) under Grant No. 62401101, and the Municipal Government of Quzhou under Grant No. 2023D010
Research Keywords
- Filtering antenna (filtenna)
- free-form
- grey wolf optimizer (GWO)
- magnetic current
- magnetoelectric dipole (ME-dipole)
Fingerprint
Dive into the research topics of 'A High-Efficiency Filtering Magnetoelectric Dipole Antenna Without Filtering Feed Line'. Together they form a unique fingerprint.Projects
- 1 Finished
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DON_RMG: Applications of Millimeter-Wave Technology for Toy Industry - RMGS
CHAN, C. H. (Principal Investigator / Project Coordinator)
1/01/20 → 21/02/24
Project: Research