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

fYear

2007

fDate

4-7 Nov. 2007

Firstpage

616

Lastpage

620

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Signals, Systems and Computers, 2007. ACSSC 2007. Conference Record of the Forty-First Asilomar Conference on

Conference_Location

Pacific Grove, CA

ISSN

1058-6393

Print_ISBN

978-1-4244-2109-1

Electronic_ISBN

1058-6393

Type

conf

DOI

10.1109/ACSSC.2007.4487287

Filename

4487287