Dimension Optimization of Microstrip Patch Antenna in X/Ku Band via Artificial Neural Network
Küçük Resim Yok
Tarih
2015
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
ELSEVIER SCIENCE BV
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
This paper is aimed at designing the effective shape of a microstrip patch antenna for X Band (8 to 12 GHz) and Ku Band (12 GHz to 18 GHz). Artificial Neural Network is used for optimizing microstrip antenna dimensions. The Network takes the different microstrip antenna parameters as inputs and delivers its dimensions in the X/Ku Band satellite communication. The error and validity analysis of neural network results are carried out in Matlab. Finally, HFSS simulation software results for prototype microstrip antenna, which has the best antenna parameters, is compared with real value. (C) 2015 The Authors. Published by Elsevier Ltd.
Açıklama
World Conference on Technology, Innovation and Entrepreneurship -- MAY 28-30, 2015 -- Istanbul, TURKEY
Anahtar Kelimeler
Microstrip Antenna, Artifical Neural Networks, X/Ku Band, Optimization
Kaynak
WORLD CONFERENCE ON TECHNOLOGY, INNOVATION AND ENTREPRENEURSHIP
WoS Q Değeri
N/A
