Gradient algorithm for reference-based cubic contrast function in a deflation scenario

Author

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

Author_Institution

CNRS, Univ. of Sud Toulon Var, La Valette-du-Var, France

fYear

2011

fDate

28-30 June 2011

Firstpage

293

Lastpage

296

Abstract

The paper deals with the problem of blind source separation of a MIMO convolutive mixture by a deflation procedure. A criterion based on high order statistics and showing a cubic dependence w.r.t. the unknown equalizer parameters has been recently proposed. In order to optimize efficiently this criterion in a classical deflation scenario, we propose a new algorithm based on a fixed step size gradient. Computer simulations illustrate the good behavior and the usefulness of our algorithm in comparison with other approaches.

Keywords

MIMO communication; blind equalisers; blind source separation; convolution; gradient methods; optimisation; statistical analysis; MIMO convolutive mixture; blind source separation; cubic dependence; deflation scenario; fixed step size gradient; gradient algorithm; high order statistics; reference-based cubic contrast function; unknown equalizer parameter; Context; Estimation; MIMO; Nickel; Optimization; Signal processing; Tensile stress; Blind Source Extraction; Contrast Functions; Gradient Optimization; Higher Order Statistics;

fLanguage

English

Publisher

ieee

Conference_Titel

Statistical Signal Processing Workshop (SSP), 2011 IEEE

Conference_Location

Nice

ISSN

pending

Print_ISBN

978-1-4577-0569-4

Type

conf

DOI

10.1109/SSP.2011.5967684

Filename

5967684