eISSN: 2618-6446
Latest Issue Archive Future Issues About Us JOURNALS

SETSCI - Volume 3 (2018)
ISAS2018-Winter - 2nd International Symposium on Innovative Approaches in Scientific Studies, Samsun, Turkey, Nov 30, 2018

Dimension Forecast in Microstrip Antenna for C/X/Ku Band by Artificial Neural Network (ISAS2018-Winter_100)
Umut Özkaya1*, Levent Seyfi2
1Konya Technical University, Konya, Turkey
2Konya Technical University, Konya, Turkey
* Corresponding author: uozkaya@selcuk.edu.tr
Published Date: 2019-01-14   |   Page (s): 518-522   |    21     5

ABSTRACT In this study, it is aimed to design C pattern array microstrip antenna for C Band (4 to 8 GHz), X Band (8 to 12 GHz)
and Ku Band (12 GHz to 18 GHz). The proposed geometry was fed by coaxial probe. Optimum antenna was designed with
Artificial Neural Network (ANN). Inputs of the network are return loses and operating frequencies in C/X/Ku band. On the other
hand, there are six outputs such as 2-D feed points and other design dimensions. The simulated and forecasted return losses,
radiation pattern and gain results are compared with each other. All simulation results were obtained with High Frequency
Structure Simulator (HFSS) software. Also, training and test process of ANN was implemented in MATLAB software.
Additionally, these simulation and predicted results were analyzed comparatively. In particular, results of antenna design based
on ANN is so closed to real design. This technique can be used in microstrip antenna manufacturing.  
KEYWORDS Microstrip Antenna, Artifical Neural Networks, C/X/Ku Band, Triple Band, Optimization.
REFERENCES [1] Suganthi, T., Robinson, S., Kanimolhi, G., Nagamoorthy, T. 2014. Design and Analysis of Rectangular Microstrip Patch Antenna for GSM Application. IJISET - International Journal of Innovative Science, Engineering & Technology, Vol. 1
[2] Kaur, J., Khanna, R. 2013. Co-axial Fed Rectangular Microstrip Patch Antenna for 5.2 GHz WLAN Application. Universal Journal of Electrical and Electronic Engineering, 1(3):94-98.
[3] Majumder, A., 2013. Rectangular Microstrip Patch Antenna Using Coaxial Probe Feeding Technique to Operate in S-Band. International Journal of Engineering Trends and Technology, Vol. 4, Issue 4.
[4] Koçer, D. 2009. Daire ve Dikdörtgen Geometrik Yapılı Mikroşerit Antenlerin Simülasyonun ve Rezonans Frekanslarının Yapay Sinir Ağları ile Belirlenmesi. Yüksek Lisans, Selçuk Üniversitesi Fen Bilimleri Enstitüsü, Konya.
[5] Türker, N., Güneş¸ F., Yıldırım, T. 2006. Artificial Neural Design of Microstrip Antennas. Turk J Elec Engin, Vol.14, No.3, TÜBİTAK.
[6] Singh, V.K., Ali, Z., Ayub, S. 2013. Dual Band Microstrip Antenna Design Using Artificial Neural Network. International Journal of Advanced Research in Computer Science and Software Engineering, Vol. 3, Issue 1.
[7] Zheng, Z., Chen, X., Huang, K., 2010. Application of Support Vector Machines to the Antenna Design. Master Thesis, School of Electronics and Information Engineering, Sichuan University, China.
[8] Kumar, A., Rai, A. 2014. Resonant Frequency of Microstrip Antenna using Artificial Neural Network. International Journal of Engineering Research & Technology (IJERT), Vol. 3, Issue 2.
[9] Xu, N. 2011. Applications of Support Vector Machines in Electromagnetic Problems. PhD Dissertation, The University of New Mexico, Albuquerque, New Mexico, Page(s):121.
[10] Kayabaşı, A. 2015. Kompakt Mikroşerit Antenlerin Rezonans Frekansının Yapay Sinir Ağları ve Bulanık Mantık Sistemine Dayalı Uyarlanır Ağ Kullanarak Hesaplanması. Doktora Tezi, Mersin Üniversitesi Fen Bilimleri Enstitüsü, Mersin.
[11] Garg, B., Verma, R.D., Samadhiya, A. 2012. Design of Rectangular Microstrip Patch Antenna Incorporated with Innovative Metamaterial Structure for Dual band operation and Amelioration in Patch Antenna Parameters with Negative μ and ε. International Journal of Engineering and Technology, 1 (3), Pages: 205-216.

SET Technology - Turkey

eISSN  : 2618-6446

E-mail : info@set-science.com
+90 533 2245325

Tokat Technology Development Zone Gaziosmanpaşa University Taşlıçiftlik Campus, 60240 TOKAT-TURKEY
©2018 SET Technology