Parafac-based blind channel identification using 4th-order cumulants

Author

Fernandes, Carlos Estêvão R ; Favier, Gérard ; Mota, João Cesar M

Author_Institution

Univ. of Nice Sophia Antipolis, Nice

fYear

2006

fDate

3-6 Sept. 2006

Firstpage

771

Lastpage

776

Abstract

Strong relationships between joint- diagonalization and tensor decompositions have been established recently. In this paper we propose a finite impulse response (FIR) channel identification method based on the Parafac decomposition of a 3rd-order tensor composed of the 4-th order output cumulants. By avoiding the prewhitening operation required by joint-diagonalization based methods, our method is shown to improve the estimation performance provided by the classic joint-diagonalization algorithm.

Keywords

FIR filters; channel estimation; higher order statistics; tensors; 3rd-order tensor decomposition; 4th-order cumulant; Parafac-based blind channel identification; finite impulse response; joint-diagonalization decomposition; Additive noise; Blind equalizers; Data communication; Finite impulse response filter; Gaussian noise; Information retrieval; Matrix decomposition; Signal processing; Statistics; Tensile stress; Channel identification; Higherorder statistics; Joint-diagonalization; Parafac; Tensor decomposition;

fLanguage

English

Publisher

ieee

Conference_Titel

Telecommunications Symposium, 2006 International

Conference_Location

Fortaleza, Ceara

Print_ISBN

978-85-89748-04-9

Electronic_ISBN

978-85-89748-04-9

Type

conf

DOI

10.1109/ITS.2006.4433376

Filename

4433376