Comparative experimental study on modeling the path loss of an UWB channel in a mine environment using MLP and RBF neural networks

Author

Zaarour, Nour ; Kandil, Nahi ; Hakem, N. ; Despins, Charles

Author_Institution

Lab. de Rech. Telebec en Commun. Souterraines, Univ. du Quebec en Abitibi-Temiscamingue, Val-d´Or, QC, Canada

fYear

2012

fDate

28-30 Aug. 2012

Firstpage

1

Lastpage

6

Abstract

Channel modeling is an important task when conceiving Ultra-Wideband communication systems (UWB). Having a precise and accurate model of the channel is necessary for designing telecommunication systems. Moreover, modeling the channel in an underground mine environment presents more difficulties and challenges to accomplish the task. The objective of this paper is to present a comparative experimental study on modeling an UWB channel in a mine environment using two types of artificial neural networks (ANN), Multilayer Perceptron (MLP) and Radial Basis Function (RBF), focusing on the change of the path loss attenuation as a function of distance and frequency.

Keywords

multilayer perceptrons; radial basis function networks; telecommunication computing; ultra wideband communication; underground communication; ANN; MLP neural networks; RBF neural networks; UWB channel path loss; artificial neural networks; channel modeling; multilayer perceptron; path loss attenuation; radial basis function; telecommunication systems; ultrawideband communication systems; underground mine environment; Artificial neural networks; Frequency estimation; Loss measurement; Receivers; Training; MLP; Mine environment; Path Loss; RBF;

fLanguage

English

Publisher

ieee

Conference_Titel

Wireless Communications in Unusual and Confined Areas (ICWCUCA), 2012 International Conference on

Conference_Location

Clermont Ferrand

Print_ISBN

978-1-4673-1290-5

Electronic_ISBN

978-1-4673-1289-9

Type

conf

DOI

10.1109/ICWCUCA.2012.6402503

Filename

6402503