Cubic higher-order criterion and algorithm for blind extraction of a source signal

Author

Dubroca, Rémi ; De Luigi, Christophe ; Moreau, Eric

Author_Institution

ISITV LSEET, Univ. of Sud Toulon Var, La Valette-du-Var

fYear

2009

fDate

19-24 April 2009

Firstpage

3149

Lastpage

3152

Abstract

The paper deals with the problem of the blind extraction of a source signal after a MIMO convolutive mixture. The extraction is performed using a MISO equalizer. A contrast function based on high order statistics is first proposed. It is more general than the existing contrast in the same context and exhibits a cubic dependence w.r.t. the unknown equalizer parameters. This allows us to propose a new extraction algorithm based on a third order tensor decomposition. Computer simulations illustrate the good behavior and the usefulness of our algorithm.

Keywords

MIMO systems; blind equalisers; blind source separation; higher order statistics; tensors; MIMO convolutive mixture; MISO equalizer; blind extraction; computer simulations; contrast function; cubic dependence w.r.t; cubic higher-order criterion; equalizer parameters; extraction algorithm; high order statistics; source signal; third order tensor decomposition; Blind equalizers; Computer simulation; Filtering; Higher order statistics; MIMO; Multidimensional systems; Polynomials; Reactive power; Tensile stress; Transfer functions; Blind Source Extraction; Contrast Functions; Higher Order Statistics; Tensor Decomposition;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech and Signal Processing, 2009. ICASSP 2009. IEEE International Conference on

Conference_Location

Taipei

ISSN

1520-6149

Print_ISBN

978-1-4244-2353-8

Electronic_ISBN

1520-6149

Type

conf

DOI

10.1109/ICASSP.2009.4960292

Filename

4960292