An ANN model to determine design parameter of circular monopole antenna

Author

Pandit, Moumi ; Bose, Tanushree

Author_Institution

Dept. of Electr. & Electron. Eng., Sikkim Manipal Inst. of Technol., Rangpo, India

fYear

2011

fDate

18-22 Dec. 2011

Firstpage

1

Lastpage

5

Abstract

In this paper, various characteristics and design parameters of circular monopole antennas (CMA) are analysed in details, and a Neural network model has been used to estimate the width of the ground plane which is one of the basic design parameter of circular monopole antenna (CMA) required to make it operate in a particular frequency band. All the antennas designed using this model gives a wideband of approximately 8 - 9 GHz. This model is prepared using Feed Forward Back Propagation Algorithm. The results obtained by the NN model are compared with the results of IE3D software which shows good agreement between the two. The model is accurate enough to measure the parameters of the monopole antenna which can be used to design the antenna. Thus this model eliminates the long time consuming process of finding various design parameters using costly software packages.

Keywords

backpropagation; electrical engineering computing; microwave antennas; monopole antennas; neural nets; ANN model; IE3D software; antenna design parameter; circular monopole antenna; feed forward back propagation algorithm; neural network model; software package; Artificial neural networks; Broadband antennas; Feeds; Resonant frequency; Training; Wideband; Back Propagation Algorithm; Circular Monople Antenna; Neural network Model;

fLanguage

English

Publisher

ieee

Conference_Titel

Antenna Week (IAW), 2011 Indian

Conference_Location

Kolkata

Print_ISBN

978-1-4577-1456-6

Type

conf

DOI

10.1109/IndianAW.2011.6264932

Filename

6264932