DASBE: Decision-Aided Semi-Blind Equalization for MIMO Systems with Linear Precoding
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DASBE: Decision-Aided Semi-Blind Equalization for MIMO Systems with Linear PrecodingDate
2010Citation
García-Naya, J.A., Dapena, A., Castro, P.M. & Iglesia, D. 2010, "Dasbe: Decision-aided semi-blind equalization for mimo systems with linear precoding", Neural Network World, vol. 20, no. 7, pp. 871-882.
Abstract
[Abstract] Multiple-Input Multiple-Output (MIMO) digital communications standards usually acquire Channel State Information (CSI) by means of supervised algorithms, which implies a loss of performance since pilot symbols do not convey information. We propose to obtain this CSI by using the so-called semi-blind techniques, which combine both supervised and unsupervised (blind) methods. The key idea consists in introducing a decision criterion to determine when the channel has suffered a significant change. In such a case, transmission of pilot symbols is required. The use of this criterion also allows us to determine the time instants in which CSI has to be sent to the transmitter from the receiver through a low-cost feedback channel.
Keywords
Linear precoding
MIMO
Blind source separation
Hybrid systems
Learning algorithm
MIMO
Blind source separation
Hybrid systems
Learning algorithm
Editor version
ISSN
1210-0552