Title :
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
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;
Conference_Titel :
Statistical Signal Processing Workshop (SSP), 2011 IEEE
Conference_Location :
Nice
Print_ISBN :
978-1-4577-0569-4
DOI :
10.1109/SSP.2011.5967684