Giyilebilir uygulamalar için meta malzemeye dayalı yeni bir tasarım yeniden yapılandırılabilir anten.
Is this your thesis?
This record came from a bulk archive import. If it’s yours, link it to your profile.
Abstract (EN)
A novel design of wearable antenna depending on metamaterials inspired-fractal Minkowski-shaped for industrial, scientific, and medical (ISM) applications is presented. The antenna consists of a conventional monopole and a Chebyshev transformer coupled with a unit cell of a fractal Minkowski curve to obtain three bands covering the ISM and Wireless Local Area Network (WLAN) applications. To enhance the antenna performance, the authors proposed the Electromagnetic Band Gap (EBG) layer of 3×4 array is introduced into the design structure. The authors used material FR4 dielectric as a substrate to design the antenna with dimensions of 51mm x 45mm x 1.6mm and fed by a 50 Ω port. The Antenna performance is analyzed numerically using CST Microwave Studio (CSTMWS) depending on the Finite Integral Technique (FIT). Various investigation analyses have carried out to verify optimum antenna performance. The proposed antenna realizes reconfiguration by using the PIN diode. In both cases (switching= ON, OFF) the antenna achieves good bandwidth, |S11|<-10dB, and excellent impedance matching.
Author
Mohaımen Qahtan Al-gburı
Institution
How to Cite
Mohaımen Qahtan Al-gburı (Master Thesis). Giyilebilir uygulamalar için meta malzemeye dayalı yeni bir tasarım yeniden yapılandırılabilir anten., 2021, Altınbaş University.
Keywords
License
Tüm Hakları Saklıdır
This work is shared under the specified license terms.
More theses from Altınbaş University
- The comparison of Samuel P. Huntington's "Clash of Civilizations" and Immanuel Wallerstein's "World Systems Analysis"(2024)
- The moderating role of self-efficacy in the effect of adverse childhood experiences on parenting attitudes(2025)
- Hastane mimarisinde fraktal boyutun bilinçli etkisi: Sıcaklık ve konforun artırılması(2024)
- The impact of FoMO on brand loyalty: A study on the cosmetic industry(2024)
- Design of advanced anomaly detection system based on hybrid machine learning technique with optimized feature selection in wireless sensor network(2025)
- Kanser tedavisi amaçlı nano parçacıkların sentezi ve değerlendirilmesi(2025)
