Article ID Journal Published Year Pages File Type
865822 Tsinghua Science & Technology 2007 5 Pages PDF
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.
Related Topics
Physical Sciences and Engineering Engineering Engineering (General)
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