DocumentCode :
3524112
Title :
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
Link To Document :
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