Radial Basis Function Neural Networks for Channel Estimation in MIMO-OFDM Systems
Yükleniyor...
Tarih
2013
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Springer Heidelberg
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
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.
Açıklama
Anahtar Kelimeler
MIMO-OFDM, Channel estimation, Radial basis function neural network
Kaynak
Arabian Journal For Science And Engineering
WoS Q Değeri
Q3
Scopus Q Değeri
Q1
Cilt
38
Sayı
8
Künye
closedAccess
