Channel estimation based on neural network in space time block coded MIMO-OFDM system
Yükleniyor...
Tarih
2013
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Academic Press Inc Elsevier Science
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
In this study, we propose feed-forward multilayered perceptron (MLP) neural network trained with the Levenberg-Marquardt algorithm to estimate channel parameters in MIMO-OFDM systems. Bit error rate (BER) and mean square error (MSE) performances of least square (LS) and least mean square error (LMS) algorithms are also compared to our proposed neural network to evaluate the performances. Neural network channel estimator has got much better performance than LS and LMS algorithms. Furthermore it doesn't need channel statistics and sending pilot tones, contrary to classical algorithms. Crown Copyright (C) 2012 Published by Elsevier Inc. All rights reserved.
Açıklama
Anahtar Kelimeler
MIMO-OFDM, Feed-forward neural network, Channel impulse response (CIR), Levenberg-Marquardt algorithm
Kaynak
Digital Signal Processing
WoS Q Değeri
Q2
Scopus Q Değeri
Q1
Cilt
23
Sayı
1
Künye
closedAccess
