Volume 24, Issue 2, April 2014

RBF Neural Network Model of an UWB Channel in a confined Mine Environment [Full Text]

N. Zaarour, N. Kandil, N. Hakem and C. Despins

Abstract Modeling an ultra-wideband (UWB) channel is an important and challenging task in wireless communica-tions. An accurate model of a channel is essential for conceiving and deploying a UWB communications network. Furthermore, modeling a channel in a confined and a harsh propagation environment such as an underground mine presents additional challenges and difficulties already investigated by a significant body of research. This paper presents an original approach based on artificial neural network to model the UWB channel in this particular confined area. Results show the efficiency and the accuracy of the proposed approach, as well the potential of neural networks in modeling the channel transfer function and in predicting UWB signal behavior in a mine environment.