Um Método Tensorial Eficiente para Estimação Cega de Assinaturas Espaciais

Paulo R. B. Gomes, André L. F. de Almeida

DOI: 10.14209/sbrt.2013.105

Evento: XXXI Simpósio Brasileiro de Telecomunicações (SBrT2013)

Keywords: Spatial signature estimation,array signal processing PARATUCK2 decompostion

Abstract

In this article we consider the uplink scenario of a wireless communication system where M active users simultaneously communicate with a base station equipped with an array of K receive antennas. A method based on tensor modeling is proposed to address the problem of blind spatialsignature estimation. The proposed method is based on exploiting multiple spatial covariances of the signals received in successive data blocks, which are organized into a data tensor. This tensor is modeled by means of the PARATUCK2 tensor decomposition, from which an iterative algorithm is formulated to estimate users’ spatial signatures. A distinguishing feature of the proposed method is its efficiency in treating the case where the users’ covariance matrix is non-diagonal and unknown, which generally happens when working with a reduced number of snapshots.

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