Comparative Experimental Study on Modeling the Path Loss of an UWB Channel in a Mine Environment Using MLP and RBF Neural Networks

被引：0
|
作者：
Zaarour, Nour [1 ]
Kandil, Nahi [1 ]
Hakem, Nadir [1 ]
Despins, Charles
机构：
[1] Univ Quebec Abitibi Temiscamingue, Lab Rech Telebec Commun Souterraines, Val Dor, PQ, Canada
来源：
2012 INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS IN UNUSUAL AND CONFINED AREAS (ICWCUCA) | 2012年
关键词：
Path Loss; Mine environment; MLP; RBF;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
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.
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页数：6
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    Kashaninejad, M.
    Dehghani, A. A.
    Kashiri, M.
    [J]. JOURNAL OF FOOD ENGINEERING, 2009, 91 (04) : 602 - 607
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    Balieiro, Acenini
    Lima, Alvaro S.
    Sanchez, Odelsia L.
    Soares, Cleide M. F.
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  • [8] Detection of premature ventricular contractions using MLP neural networks: A comparative study
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  • [10] CLUSTER-ANALYSIS PREPROCESSOR FOR PATH LOSS MODELING USING NEURAL NETWORKS
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    [J]. ELECTRONICS LETTERS, 1995, 31 (22) : 1894 - 1895
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