@article{ZHANG2007, 
author = {Ling ZHANG and Xianda ZHANG},
title = {MIMO Channel Estimation and Equalization Using Three-Layer Neural Networks with Feedback},
year = {2007},
journal = {Tsinghua Science and Technology},
volume = {12},
number = {6},
pages = {658-662},
keywords = {multiple input multiple output, channel equalization, channel estimation, artificial neural networks, symbol estimation},
url = {https://www.sciopen.com/article/10.1109/TST.2007.6071814},
doi = {10.1109/TST.2007.6071814},
abstract = {This paper describes a channel estimation and equalization algorithm using three-layer artificial neural networks (ANNs) with feedback for multiple input multiple output wireless communication systems. An ANN structure with feedback was designed to use different learning algorithms in the different ANN layers. This actually forms a Turbo iteration process between the different algorithms which effectively improves the estimation performance of the channel equalizer. Simulation results show that this channel equalization algorithm has better computational efficiency and faster convergence than higher order statistics based algorithms.}
}