Title :
Blind MIMO channel identification using cumulant tensor decomposition
Author :
Fernandes, Carlos Estêvão R ; Favier, Gérard ; Fernandes, Carlos Alexandre R ; Mota, Joao C. M.
Author_Institution :
Univ. of Nice Sophia Antipolis, Nice
Abstract :
In this paper, we exploit the symmetry properties of fourth- order cumulants to develop a new blind identification algorithm for multiple-input multiple-output (MIMO) instantaneous channels. The proposed algorithm utilizes the Parallel Factor (Parafac) decomposition of the 4th-order cumulant tensor by solving a single-step (SS) least squares (LS) problem. This approach is shown to hold for channels with more sources than sensors. A simplified approach using a reduced-order tensor is also discussed. Computer simulations are provided to illustrate the performance of the proposed identification algorithms.
Keywords :
MIMO communication; blind source separation; channel estimation; least squares approximations; blind MIMO channel identification; blind identification algorithm; cumulant tensor decomposition; multiple-input multiple-output instantaneous channels; single-step least squares problem; Computer simulation; Independent component analysis; Iterative algorithms; Laboratories; Least squares methods; MIMO; Matrix decomposition; Redundancy; Singular value decomposition; Tensile stress;
Conference_Titel :
Signals, Systems and Computers, 2007. ACSSC 2007. Conference Record of the Forty-First Asilomar Conference on
Conference_Location :
Pacific Grove, CA
Print_ISBN :
978-1-4244-2109-1
Electronic_ISBN :
1058-6393
DOI :
10.1109/ACSSC.2007.4487287
