Blind MIMO paraunitary equalizer

Author

Rota, Ludwig ; Comon, Pierre ; Icart, Sylvie

Author_Institution

Lab. I3S, Sophia Antipolis, France

Volume

4

fYear

2003

fDate

6-10 April 2003

Abstract

This paper introduces a new blind source separation algorithm for convolutive mixtures. In addition to separate sources, this algorithm respects the paraunitary property of the model considered, obtained after whitening observations. In order to do this, the equalizer is factorized in a novel manner. After a presentation of theoretical results, a numerical algorithm is then derived. This algorithm is based on the solution of a polynomial system, which some values of output cumulant multi-correlations enter. Simulations and performances of the numerical algorithm are presented in the last section.

Keywords

MIMO systems; blind equalisers; blind source separation; convolution; correlation methods; higher order statistics; polynomials; MIMO paraunitary equalizer; blind equalizer; blind source separation algorithm; convolutive mixtures; output cumulant multi-correlations; performance; polynomial system; Blind equalizers; Blind source separation; Convergence; Finite impulse response filter; MIMO; Polynomials; Random processes; Statistics; Tin; Transfer functions;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03). 2003 IEEE International Conference on

ISSN

1520-6149

Print_ISBN

0-7803-7663-3

Type

conf

DOI

10.1109/ICASSP.2003.1202625

Filename

1202625