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Blind PARAFAC Receivers for Multiple Access-Multiple Antenna Systems

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Title: Blind PARAFAC Receivers for Multiple Access-Multiple Antenna Systems
Author: de Baynast, Alexandre; De Lathauwer, Lieven; Aazhang, Behnaam
Type: Conference Paper
Keywords: Blind PARAFAC Receivers
Citation: A. de Baynast, L. De Lathauwer and B. Aazhang,"Blind PARAFAC Receivers for Multiple Access-Multiple Antenna Systems," in IEEE Vehicular Technology Conference (VTC),
Abstract: In this paper, we present a new blind receiver for multiple access channel with multiple transmit antennas per user and multiple receive antennas (MIMO channel). After being multiplied by a spreading sequence, each user s data is split into N<sub>t</sub> streams that are simultaneously transmitted using N<sub>t</sub> transmit antennas. The received signal at each receive antenna is a linear superposition of the N<sub>t</sub> transmitted signals of the N<sub>u</sub> users perturbed by noise. We propose a new blind detection/identification algorithm under the assumption that the fading is slow and frequency non-selective. This algorithm relies on a generalization of parallel factor analysis (PARAFAC analysis, [Kruskal, Lin. Alg. Appl. 77, Sidiropoulos, Tr. on Sig. Proc. 00]): we show that a generalized canonical decomposition (CANDECOMP) of the 3D data tensor is unique under mild assumptions without noise. Neither algebraic orthogonality nor independence between sources is needed for uniqueness of the decomposition. By performing this decomposi-tion, in rank-(N<sub>t</sub>,N<sub>t</sub>,1) terms, we are able to retrieve the three sets of parameters: the symbols, the channel fading coefficients (including the antenna gains) and the spreading sequences. In a noisy context, we propose a simple algorithm of the alternating least squares (ALS) type, which yields a performance close to the linear minimum mean square error (LMMSE) receiver which requires knowledge of the channel and spreading sequences.
Date Published: 2003-10-01

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  • ECE Publications [1030 items]
    Publications by Rice University Electrical and Computer Engineering faculty and graduate students