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 PrecodingFecha
2010Cita bibliográfica
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.
Resumen
[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.
Palabras clave
Linear precoding
MIMO
Blind source separation
Hybrid systems
Learning algorithm
MIMO
Blind source separation
Hybrid systems
Learning algorithm
Versión del editor
ISSN
1210-0552