| Paper: | MLSP-P4.12 | ||
| Session: | Audio and Communication Applications | ||
| Time: | Thursday, May 18, 14:00 - 16:00 | ||
| Presentation: | Poster | ||
| Topic: | Machine Learning for Signal Processing: Blind Signal Separation and Independent Component Analysis | ||
| Title: | A Block Factor Analysis based Receiver for Blind Multi-User Access in Wireless Communications | ||
| Authors: | Dimitri Nion, Lieven De Lathauwer, ETIS (CNRS, ENSEA, UCP), France | ||
| Abstract: | In this paper, we present a technique for the blind separation of DS-CDMA signals received on an antenna array, for a multi-path propagation scenario with Inter Symbol Interference. Our method relies on a new third-order tensor decomposition, which is a generalization of the parallel factor model. We start with the observation that the temporal, spatial and spectral diversities give a third-order tensor structure to the received data. This tensor is then decomposed in a sum of contributions by means of an Alternating Least Squares algorithm, where each contribution fully characterizes one user. | ||
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