Blind PARAFAC Receivers for Multiple Access-Multiple Antenna Systems

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dc.citation.bibtexNameinproceedingsen_US
dc.citation.conferenceNameIEEE Vehicular Technology Conference (VTC)en_US
dc.contributor.authorde Baynast, Alexandreen_US
dc.contributor.authorDe Lathauwer, Lievenen_US
dc.contributor.authorAazhang, Behnaamen_US
dc.contributor.orgCenter for Multimedia Communications (http://cmc.rice.edu/)en_US
dc.date.accessioned2007-10-31T00:41:46Z
dc.date.available2007-10-31T00:41:46Z
dc.date.issued2003-10-01
dc.date.modified2004-04-10en_US
dc.date.note2004-04-09en_US
dc.date.submitted2003-10-01en_US
dc.descriptionConference paperen_US
dc.description.abstractIn 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 <i>N<sub>t</sub></i> streams that are simultaneously transmitted using <i>N<sub>t</sub></i> transmit antennas. The received signal at each receive antenna is a linear superposition of the <i>N<sub>t</sub></i> transmitted signals of the <i>N<sub>u</sub></i> 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 <i>parallel factor</i> 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-(<i>N<sub>t</sub></i>,<i>N<sub>t</sub></i>,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.en_US
dc.identifier.citationA. de Baynast, L. De Lathauwer and B. Aazhang, "Blind PARAFAC Receivers for Multiple Access-Multiple Antenna Systems," 2003.
dc.identifier.urihttps://hdl.handle.net/1911/19835
dc.language.isoeng
dc.subjectBlind PARAFAC Receivers*
dc.subject.keywordBlind PARAFAC Receiversen_US
dc.titleBlind PARAFAC Receivers for Multiple Access-Multiple Antenna Systemsen_US
dc.typeConference paper
dc.type.dcmiText
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