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Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (SNPD 2007)
An RBF Network Based Beamformer for Mimo Wireless Communication Systems
Haier International Training Center, Qingdao, China
July 30-August 01
ISBN: 0-7695-2909-7
ASCII Text
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Ling Zhang, X. Z. Zhang, "An RBF Network Based Beamformer for Mimo Wireless Communication Systems," Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, ACIS International Conference on, vol. 1, pp. 549-552, Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (SNPD 2007), 2007.
 
 
BibTex
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@article{ 10.1109/SNPD.2007.311,
author = {Ling Zhang and X. Z. Zhang},
title = {An RBF Network Based Beamformer for Mimo Wireless Communication Systems},
journal ={Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, ACIS International Conference on},
volume = {1},
year = {2007},
isbn = {0-7695-2909-7},
pages = {549-552},
doi = {http://doi.ieeecomputersociety.org/10.1109/SNPD.2007.311},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, ACIS International Conference on
TI - An RBF Network Based Beamformer for Mimo Wireless Communication Systems
SN - 0-7695-2909-7
SP549
EP552
A1 - Ling Zhang,
A1 - X. Z. Zhang,
PY - 2007
KW - null
VL - 1
JA - Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, ACIS International Conference on
ER -
 
Ling Zhang, Tsinghua University, China
X. Z. Zhang, Qingdao University, China
In this paper, we propose a beamforming scheme based on a radial basis function (RBF) network for multiple input multiple output (MIMO) wireless communication systems. The RBF network is an effective forward neural network, which has the advantages of easy training and fast convergence rate. This RBF network beamforming technique performs better than the higher order statistics based beamformer.
Citation:
Ling Zhang, X. Z. Zhang, "An RBF Network Based Beamformer for Mimo Wireless Communication Systems," snpd, vol. 1, pp.549-552, Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (SNPD 2007), 2007
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