Title :
An RBF Network Based Beamformer for Mimo Wireless Communication Systems
Author :
Zhang, Ling ; Zhang, X.Z.
Author_Institution :
Tsinghua Univ., Beijing
fDate :
July 30 2007-Aug. 1 2007
Abstract :
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.
Keywords :
MIMO communication; equalisers; radial basis function networks; MIMO wireless communication systems; RBF network; beamforming scheme; forward neural network; radial basis function network; Array signal processing; Convergence; Higher order statistics; MIMO; Neural networks; Radial basis function networks; Receiving antennas; Signal processing algorithms; Transmitting antennas; Wireless communication;
Conference_Titel :
Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, 2007. SNPD 2007. Eighth ACIS International Conference on
Conference_Location :
Qingdao
Print_ISBN :
978-0-7695-2909-7
DOI :
10.1109/SNPD.2007.311
