Title :
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
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;
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
DOI :
10.1109/ICWCUCA.2012.6402503
