Blind multiuser equalization using a PARAFAC-subspace spproach
André L. F. de Almeida, Gérald Favier, João Mota · 2005
In this paper, we make use of the PARAFAC (PARAllel FACtors) tensor decomposition and propose a new blind multiuser equalization approach for wireless communications systems employing an antenna array and oversampling at the receiver. First, a tridimensional PARAFAC model for the received signal is proposed, the 3 dimensions being space, time and oversampling. Then, a blind receiver performing joint blind multiuser signal separation and equalization is formulated, combining PARAFAC modelling and a subspace method together with the use of Finite Alphabet (FA) property of symbols. Simulation results are provided to illustrate the performance of the proposed receiver.