| Issue |
ITM Web Conf.
Volume 52, 2023
International Conference on Connected Object and Artificial Intelligence (COCIA’2023)
|
|
|---|---|---|
| Article Number | 03003 | |
| Number of page(s) | 10 | |
| Section | Telecommunications | |
| DOI | https://doi.org/10.1051/itmconf/20235203003 | |
| Published online | 08 May 2023 | |
Study and design of a patch antenna for biomedical applications
1 ERTTI: Laboratory of Renewable Energies, Processing and Transmission of Information, Faculty of Sciences and Techniques Errachidia, Moulay Ismail University Meknes, Morocco
2 EIDD: Engineering and Sustainable Development Research Team, Dakhla Higher School of Technology, Ibn Zohr University, Morocco
* Corresponding author: y.siraj@edu.umi.ac.ma
This work presents the performance of a Dual-band patch antenna with L-shaped slot for biomedical applications. The antenna works at 2.4 GHz and 3.33 GHz. A semi-flexible substrate material which is “Taconic TLX (tm)” with a relative dielectric constant, ℇr of 2.55, loss tangent, tan δ of 0.0019 and thickness, h of 0.7 mm has been proposed to be the isolant element of the antenna. The size of the antenna is 60 x 55 mm². The slots in the rectangular radiating patch were introduced to produce the resonant frequencies of 2.4GHz and 3.33GHz. The simulations of the microstrip patch antenna shows the reflection coefficient, S11 of -31.67 dB and -20.25 dB at 2.4 GHz and 3.27 GHz respectively. The proposed antenna shows a peak gain of 5.01 dB at 2.4 GHz. The results were obtained using HFSS (high frequency structured simulator) software.
Key words: Microstrip patch antenna / Dual-Band antenna / Defected Ground Structure (DGS) / Biomedical applications / L-Shaped / slotted patch / HFSS
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.