Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/78572
Type: Artigo de periódico
Title: Tensor space-time (TST) coding for MIMO wireless communication systems
Author: Favier, G
da Costa, MN
de Almeida, ALF
Romano, JMT
Abstract: In this paper, we propose a tensor space-time (TST) coding for multiple-input multiple-output (MIMO) wireless communication systems. The originality of TST coding is that it allows spreading and multiplexing the transmitted symbols, belonging to R data streams, in both space (antennas) and time (chips and blocks) domains, owing the use of two (stream- and antenna-to-block) allocation matrices. This TST coding is defined in terms of a third-order code tensor admitting transmit antenna, data stream and chip as modes. Assuming flat Rayleigh fading propagation channels, the signals received by K receive antennas during P time blocks, composed of N symbol periods each, with J chips per symbol, form a fourth-order tensor that satisfies a new constrained tensor model, called a PARATUCK-(2,4) model. Conditions for identifiability and uniqueness of this model are established, and a performance analysis of TST coding is made, before presenting a blind receiver for joint channel estimation and symbol recovery. Finally, some simulation results are provided to evaluate the performance of this receiver. (C) 2011 Elsevier B.V. All rights reserved.
Subject: Channel estimation
MIMO systems
PARATUCK model
Space-time coding
Symbol estimation
Tensor modeling
Country: Holanda
Editor: Elsevier Science Bv
Rights: fechado
Identifier DOI: 10.1016/j.sigpro.2011.10.021
Date Issue: 2012
Appears in Collections:Unicamp - Artigos e Outros Documentos

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