DocumentCode
697821
Title
An efficient Jacobi-type algorithm for blind equalization of paraunitary channels
Author
Sorensen, Mikael ; De Lathauwer, Lieven ; Deneire, Luc
Author_Institution
Lab. I3S, UNSA, Sophia Antipolis, France
fYear
2009
fDate
24-28 Aug. 2009
Firstpage
510
Lastpage
514
Abstract
Blind equalization of convolutive mixtures is often done by resorting to methods based on higher order statistics. Under the assumption that the data have been pre-whitened the problem reduces to the estimation of paraunitary channels. The method PAJOD was developed to equalize paraunitary channels in [8]. Our contribution is an efficient implementation of the PAJOD algorithm which is called PAJOD2. Comparisons between PAJOD and PAJOD2 based on computer simulations will also be reported.
Keywords
Jacobian matrices; MIMO communication; channel estimation; higher order statistics; Jacobi-type algorithm; PAJOD algorithm; PAJOD method; PAJOD2A; blind equalization; convolutive mixtures; higher order statistics; paraunitary channels; Abstracts; Integrated circuits; Jacobian matrices; Optimization; Signal to noise ratio;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing Conference, 2009 17th European
Conference_Location
Glasgow
Print_ISBN
978-161-7388-76-7
Type
conf
Filename
7077393
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