Radial Basis Function Neural Networks for Channel Estimation in MIMO-OFDM Systems
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Date
2013
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Springer Heidelberg
Access Rights
info:eu-repo/semantics/closedAccess
Abstract
Orthogonal frequency division multiplexing (OFDM) combined with multiple input multiple output (MIMO) antennas is one of the promising schemes for high rate data transmission and capacity improvement. However, in these systems, channel estimation task is critical for coherent detection and demodulation. In this study, we have proposed a channel estimator based on radial basis function neural network trained by gradient descent method for MIMO-OFDM systems. Simulation results show that the proposed estimator performs better than other considered channel estimation techniques.
Description
Keywords
MIMO-OFDM, Channel estimation, Radial basis function neural network
Journal or Series
Arabian Journal For Science And Engineering
WoS Q Value
Q3
Scopus Q Value
Q1
Volume
38
Issue
8
Citation
closedAccess
