Title :
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
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;
Conference_Titel :
Telecommunications Symposium, 2006 International
Conference_Location :
Fortaleza, Ceara
Print_ISBN :
978-85-89748-04-9
Electronic_ISBN :
978-85-89748-04-9
DOI :
10.1109/ITS.2006.4433376