Channel Estimation Based on Neural Network With Feedback for Mimo Ofdm Mobile Communication Systems
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Tarih
2012
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Taylor & Francis Inc
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
Multiple input multiple output (MIMO) orthogonal frequency division multiplexing (OFDM) has received a great deal of attention of recently in achieving high data rate in wireless communication systems such as WIMAX. Channel estimation is, however, a critical issue for coherent demodulation. In this paper, a new channel estimator based on neural network with feedback for MIMO-OFDM mobile system is designed and its performance is compared to the least square error (LS), least mean square error (LMS), minimum mean square error (MMSE) algorithms and neural network without feedback by using computer simulations. Simulation results demonstrate that our proposed system is an effective solution to channel estimation in time varying fast fading channels without any knowledge of channel statistics and noise information.
Açıklama
Anahtar Kelimeler
MIMO-OFDM, channel estimation, mobile communication system, neural network
Kaynak
Intelligent Automation And Soft Computing
WoS Q Değeri
Q4
Scopus Q Değeri
Q2
Cilt
18
Sayı
3
Künye
closedAccess
