Broadband Miniaturized Antenna Based on Enhanced Magnetic Field Convergence in UAV

As unmanned aerial vehicles (UAVs) continue to play an increasingly critical role in reconnaissance missions, establishing dependable communication links between UAVs and ground stations has become imperative. Nevertheless, ensuring reliable communication remains a great challenge, particularly in environments characterized by weak signals or high levels of electromagnetic interference. To tackle this challenge, this study presents a design and optimization approach for a miniature UAV antenna. This antenna achieves significant performance improvements by optimizing the magnetic field (MF) distribution and convergence within its central section. Specifically with the aim of capturing and amplifying signals in a specified direction, the antenna enhances reception sensitivity, especially in challenging operational settings. The structure ensures robust and consistent signal reception with a maximum gain of up to 12.8 dB and a converging MF magnitude of 2279 A/m at its center. Furthermore, it operates effectively within the C band, exhibiting a relative bandwidth of 12.2%. This capability empowers UAV to transmit reconnaissance data accurately and swiftly, regardless of the distance traveled or the complexity of the electromagnetic environment. This advancement not only enhances UAV capabilities but also opens new possibility for applications requiring dependable communication in diverse and demanding scenarios.

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Publication Details

Journal
IEEE Journal on Miniaturization for Air and Space Systems
Published
2024-10-11
DOI
https://doi.org/10.1109/jmass.2024.3479151
Citations
1
Primary Topic
Antenna Design and Analysis
Type
article
Field-Weighted Citation Impact
1.30
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article

Broadband Miniaturized Antenna Based on Enhanced Magnetic Field Convergence in UAV

Qingwang Wang, Zixian Chen, Ju Gao, Zonghui Li et al.
1 citations
IEEE Journal on Miniaturization for Air and Space Systems
Antenna Design and Analysis
1.30
article

Broadband Miniaturized Antenna Based on Enhanced Magnetic Field Convergence in UAV

Qingwang Wang, Zixian Chen, Ju Gao, Zonghui Li, Zhangziyi Jin
article en
1 citations

Abstract

As unmanned aerial vehicles (UAVs) continue to play an increasingly critical role in reconnaissance missions, establishing dependable communication links between UAVs and ground stations has become imperative. Nevertheless, ensuring reliable communication remains a great challenge, particularly in environments characterized by weak signals or high levels of electromagnetic interference. To tackle this challenge, this study presents a design and optimization approach for a miniature UAV antenna. This antenna achieves significant performance improvements by optimizing the magnetic field (MF) distribution and convergence within its central section. Specifically with the aim of capturing and amplifying signals in a specified direction, the antenna enhances reception sensitivity, especially in challenging operational settings. The structure ensures robust and consistent signal reception with a maximum gain of up to 12.8 dB and a converging MF magnitude of 2279 A/m at its center. Furthermore, it operates effectively within the C band, exhibiting a relative bandwidth of 12.2%. This capability empowers UAV to transmit reconnaissance data accurately and swiftly, regardless of the distance traveled or the complexity of the electromagnetic environment. This advancement not only enhances UAV capabilities but also opens new possibility for applications requiring dependable communication in diverse and demanding scenarios.

IEEE Journal on Miniaturization for Air and Space SystemsVol. 5(4)
Kunming University of Science and Technology (CN), Beijing University of Technology (CN), Aerospace Institute (Germany) (DE)
Openalex Percentile: Top 12%
Antenna Design and Analysis
1.30
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Broadband Miniaturized Antenna Based on Enhanced Magnetic Field Convergence in UAV — Qingwang Wang, Zixian Chen, et al. · IEEE Journal on Miniaturization for Air and Space Systems (2024) | TGRS Research Map | TGRS