Title :
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
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;
Conference_Titel :
Antenna Week (IAW), 2011 Indian
Conference_Location :
Kolkata
Print_ISBN :
978-1-4577-1456-6
DOI :
10.1109/IndianAW.2011.6264932
