Abstract
This article presents, a novel Frequency Selective Surface (FSS) structure based on metamaterial (MM), to increase the gain and the directivity of an Ultra WideBand (UWB) patch antenna operates between 3.2 and 11.2 GHz. The FSS structure proposed is formed by four Triangular Split Ring Resonators (TSRR) printed on Rogers RO3010 substrate. Using Kramers-Kronig equations, the TSRR structure is analyzed to find the frequency band where it presents negative permittivity. The simulation results for the FSS associated with the patch antenna offers a higher gain referred to an antenna without FSS. The proposed antenna has a low profile, is of small size (45mm × 50 mm × 12.73 mathbfmm)), and offers a gain of 7.71 dBi for WIMAX (3.5 GHz), 6.45 dBi for WLAN (5 GHz), 8.5 dBi for HIPERLAN2 (5.4 GHz-5.7 GHz) and 7.5 dBi for X-band (10 GHz). Our results have shown more favorable outcomes for UWB applications compared with the previously published literature.
| Original language | English |
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| Title of host publication | 2019 International Conference on Wireless Technologies, Embedded and Intelligent Systems, WITS 2019 |
| Editors | Hakim El Fadili, Adil Kenzi, Anass Mansouri, Saad Bennani Dosse, Younes Lakhrissi |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9781538678503 |
| DOIs | |
| State | Published - Apr 2019 |
| Externally published | Yes |
| Event | 5th International Conference on Wireless Technologies, Embedded and Intelligent Systems, WITS 2019 - Fez, Morocco Duration: 3 Apr 2019 → 4 Apr 2019 |
Publication series
| Name | 2019 International Conference on Wireless Technologies, Embedded and Intelligent Systems, WITS 2019 |
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Conference
| Conference | 5th International Conference on Wireless Technologies, Embedded and Intelligent Systems, WITS 2019 |
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| Country/Territory | Morocco |
| City | Fez |
| Period | 3/04/19 → 4/04/19 |
Bibliographical note
Publisher Copyright:© 2019 IEEE.
Keywords
- FSS
- Metamaterial
- Split ring resonator
- UWB antenna
ASJC Scopus subject areas
- Electrical and Electronic Engineering
- Artificial Intelligence
- Instrumentation
- Computer Networks and Communications