DASBE: Decision-aided semi-blind equalization for MIMO systems with linear precoding

Title:

DASBE: Decision-aided semi-blind equalization for MIMO systems with linear precoding

Creator:

García-Naya, José, Dapena, Adriana, Castro, Paula M., and Iglesia , Daniel

Identifier:

https://cdk.lib.cas.cz/client/handle/uuid:3a89e905-ad94-429f-ab01-068182160f56
uuid:3a89e905-ad94-429f-ab01-068182160f56

Subject:

Channel estimation, blind source separation, learning algorithms, hybrid systems, and linear precoding

Type:

model:article and TEXT

Format:

bez média and svazek

Description:

Multiple-Input Multiple-Output (MIMO) digital communications standards usually acquire Channel State Information (CSI) by means of supervised algorithms, which implies loss of performance since pilot symbols do not convey information. We propose obtaining this CSI by using 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 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.

Language:

English

Rights:

http://creativecommons.org/publicdomain/mark/1.0/
policy:public

Source:

Neural network world: international journal on neural and mass-parallel computing and information systems | 2010 Volume:20 | Number:7

Harvested from:

CDK

Metadata only:

false