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

Carlos Estêvão Rolim Fernandes (1) , Gérard Favier (1) , João C.M. Mota (2)

1 I3S - Laboratoire d'Informatique, Signaux, et Systèmes de Sophia Antipolis
2 UFC - GTEL - Grupo de Pesquisa em Telecomunicações Sem Fio

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.

Mots clés: Channel identification; Higherorder statistics; Joint-diagonalization; Parafac; Tensor decomposition

Domaines: Traitement du signal et de l'image [eess.SP]; Traitement du signal et de l'image [eess.SP]

Carlos Estêvão Rolim Fernandes, Gérard Favier, João C.M. Mota. PARAFAC-based blind channel identification using 4th-order cumulants. IEEE International Telecommunications Symposium (ITS'06), Sep 2006, Fortaleza, Brazil. pp.771-776, ⟨10.1109/ITS.2006.4433376⟩. ⟨hal-00417643⟩