CFP last date
02 December 2024
Call for Paper
January Edition
CAE solicits high quality original research papers for the upcoming January edition of the journal. The last date of research paper submission is 02 December 2024

Submit your paper
Know more
Reseach Article

Ascertaining Resonant Frequency of Rectangular Patch Antenna using Neural Network

Published on March 2016 by Sonali Shankar, Bishal Dey Sarkar, Himanshu Chaurasiya
CAE Proceedings on International Conference on Computing
Foundation of Computer Science USA
CCSN2015 - Number 1
March 2016
Authors: Sonali Shankar, Bishal Dey Sarkar, Himanshu Chaurasiya
992e966e-d455-49ca-abad-35bc2116e7b6

Sonali Shankar, Bishal Dey Sarkar, Himanshu Chaurasiya . Ascertaining Resonant Frequency of Rectangular Patch Antenna using Neural Network. CAE Proceedings on International Conference on Computing. CCSN2015, 1 (March 2016), 0-0.

@article{
author = { Sonali Shankar, Bishal Dey Sarkar, Himanshu Chaurasiya },
title = { Ascertaining Resonant Frequency of Rectangular Patch Antenna using Neural Network },
journal = { CAE Proceedings on International Conference on Computing },
issue_date = { March 2016 },
volume = { CCSN2015 },
number = { 1 },
month = { March },
year = { 2016 },
issn = 2394-4714,
pages = { 0-0 },
numpages = 1,
url = { /proceedings/ccsn2015/number1/548-1510/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 CAE Proceedings on International Conference on Computing
%A Sonali Shankar
%A Bishal Dey Sarkar
%A Himanshu Chaurasiya
%T Ascertaining Resonant Frequency of Rectangular Patch Antenna using Neural Network
%J CAE Proceedings on International Conference on Computing
%@ 2394-4714
%V CCSN2015
%N 1
%P 0-0
%D 2016
%I Communications on Applied Electronics
Abstract

In this paper, with the help of Artificial Neural Network (ANN), we are determining the resonant frequency of a rectangular patch antenna at a given length, width, height and dielectric constant. After training phase of ANN(Artificial Neural Network), the obtained results are compared with the theoretical obtained value of resonant frequency at the same length, width, height and dielectric constant. The resonant frequency is maintained at Ku (12 GHz-18 GHz) band which is used for satellite communication and radar applications.

References
  1. K. Güney, M. Erler, S. Sagiroglu, "Artificial Neural Networks for the Resonant Resistance Calculation of Electrically Thin and Thick Rectangular Micro strip Antennas" Electromagnetics, 20 (5), 2000, pp. 387-400.
  2. O. S. Eluyode, DipoTheophilusAkomolafe, "Comparative study of biological and artificial neural networks" Euro. J. Appl. Eng. Sci. Res. , 2 (1), 2013, pp. 36-46.
  3. Constantine A. Balanis, "Antenna Theory, Third Edition, Analysis and Design'',John Wiley & Sons Inc, 2005, pp 811-842.
  4. Yuan Gao, Yi, Li, Hongyi, Yu, Xianfeng, Wang, ShihaiGao, "Performance analysis of the separation of uplink and downlink under LTE-Advanced system level simulation: An energy aware point of view" Computer Science and Network Technology (ICCSNT), 2012 2nd International Conference on IEEE, 2012, pp. 1289-1293.
  5. A. Guilhaume-Chaillot, C. Munier, M. Michaud, "Microprocessor packaging strategy: Reliability of various Flip Chip BGA packages on different Printed Circuit Boards" 5th. Int. Conf. on Thermal and Mechanical Simulation and Experiments in Micro-electronics and Micro-Systems, EuroSimE, IEEE, 2004, pp. 322-327.
  6. Vilas Mapare, SurajShinde, MaheshkumarLatpate, TejasKhairnarPallaviKadam, "Employment of Artificial Neural Network in Manipulating Design Constraints of Rectangular Micro strip Patch Antenna" International Journal of Recent Technology and Engineering (IJRTE) ISSN: 2277-3878, Vol. 2(1), 2013.
Index Terms

Computer Science
Information Sciences

Keywords

ANN downlink fringing effect resonant frequency uplink.