Please use this identifier to cite or link to this item: http://www.repositorio.ufc.br/handle/riufc/4004
Title in Portuguese: Tensor-based blind Identification of MIMO volterra channels in a multiuser CDMA environment.
Author: Fernandes, Carlos Alexandre Rolim
Favier, Gérard
Mota, João César Moura
Keywords: Teleinformática
Issue Date: 2008
Publisher: European Signal Processing Conference
Citation: FERNANDES, C. A. R. ; FAVIER, G. ; MOTA, J. C. M. Tensor-based blind Identification of MIMO volterra channels in a multiuser CDMA environment. In: EUROPEAN SIGNAL PROCESSING CONFERENCE, 2008, Lausana. Anais... Lausana: (EUSIPCO), 2008.
Abstract: This paper is concerned with the blind identification of Multiple-Input-Multiple-Output (MIMO) Volterra channels in a multiuser Code Division Multiple Access (CDMA) environment. The channel is modeled using the most generic representation of complex-valued Volterra systems. A Parallel Factor (PARAFAC) decomposition of a third-order tensor composed of channel output covariances is used, the transmitted signals being assumed to be Phase Shift Keying (PSK) modulated. The channel estimation is carried out by two algorithms: the Alternating Least Squares (ALS) algorithm and a non-iterative least squares algorithm that exploits the redundancy provided by the Khatri-Rao product. The performance of the proposed estimation methods is illustrated by means of computer simulations.
URI: http://www.repositorio.ufc.br/handle/riufc/4004
metadata.dc.type: Artigo de Evento
Appears in Collections:DETE - Trabalhos apresentados em eventos

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