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Authors: Pedro Henrique Gouvêa Coelho and Fabiana Mendes Cesario

Affiliation: State Univ. of Rio de Janeiro, Brazil

Keyword(s): Neural Networks, Artificial Intelligence Applications, Channel Equalization, Wireless Systems.

Related Ontology Subjects/Areas/Topics: Agents ; Artificial Intelligence ; Artificial Intelligence and Decision Support Systems ; Bioinformatics ; Biomedical Engineering ; Biomedical Signal Processing ; Computational Intelligence ; Enterprise Information Systems ; Health Engineering and Technology Applications ; Human-Computer Interaction ; Industrial Applications of Artificial Intelligence ; Information Systems Analysis and Specification ; Methodologies and Methods ; Methodologies and Technologies ; Neural Network Software and Applications ; Neural Networks ; Neurocomputing ; Neurotechnology, Electronics and Informatics ; Operational Research ; Pattern Recognition ; Physiological Computing Systems ; Problem Solving ; Sensor Networks ; Signal Processing ; Simulation ; Soft Computing ; Theory and Methods

Abstract: Artificial Neural Networks have been widely used in several decision devices systems and typical signal processing applications. This paper proposes an equalizer for wireless channels using radial basis function neural networks. An equalizer is a device used in communication systems for compensating the non-ideal characteristics of the channel. The main motivation for such an application is their capability to form complex decision regions which are of paramount importance for estimating the transmitted symbols efficiently. The proposed equalizer is trained by means of an extended Kalman filter guaranteeing a fast training for the radio basis function neural network. Simulation results are presented comparing the proposed equalizer with traditional ones indicating the efficiency of the scheme.

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Paper citation in several formats:
Henrique Gouvêa Coelho, P. and Mendes Cesario, F. (2015). Radial Basis Function Neural Network Receiver for Wireless Channels. In Proceedings of the 17th International Conference on Enterprise Information Systems - Volume 2: ICEIS; ISBN 978-989-758-096-3; ISSN 2184-4992, SciTePress, pages 658-663. DOI: 10.5220/0005470106580663

@conference{iceis15,
author={Pedro {Henrique Gouvêa Coelho}. and Fabiana {Mendes Cesario}.},
title={Radial Basis Function Neural Network Receiver for Wireless Channels},
booktitle={Proceedings of the 17th International Conference on Enterprise Information Systems - Volume 2: ICEIS},
year={2015},
pages={658-663},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005470106580663},
isbn={978-989-758-096-3},
issn={2184-4992},
}

TY - CONF

JO - Proceedings of the 17th International Conference on Enterprise Information Systems - Volume 2: ICEIS
TI - Radial Basis Function Neural Network Receiver for Wireless Channels
SN - 978-989-758-096-3
IS - 2184-4992
AU - Henrique Gouvêa Coelho, P.
AU - Mendes Cesario, F.
PY - 2015
SP - 658
EP - 663
DO - 10.5220/0005470106580663
PB - SciTePress

- Science and Technology Publications, Lda.
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