Fast wideband source separation based on higher-order statistics - Normandie Université Accéder directement au contenu
Communication Dans Un Congrès Année : 1997

Fast wideband source separation based on higher-order statistics

Résumé

In this paper we develop an algorithm to improve the accuracy of the estimation of the direction of arrival of the wide-band sources. It is well known that when the noise cross-spectral matrix is unknown, these estimates may be grossly inaccurate. Using both the fourth order cumulant for suppression of the Gaussian noise, the transformation matrices for estimating the coherent signal subspace and a noneigenvector algorithm a robust method for the source characterisation problem in the presence of noise with an unknown cross-spectral matrix is developed. We show that the performance of bearing estimation algorithms improves substantially when our robust algorithm is used. Simulation results are presented for the unknown noise spectral matrix.
Fichier non déposé

Dates et versions

hal-01821508 , version 1 (22-06-2018)

Identifiants

Citer

S. Bourennane, M. Frikel, A. Bendjama. Fast wideband source separation based on higher-order statistics. IEEE Signal Processing Workshop on Higher-Order Statistics, Jul 1997, Banff, Canada. pp.354-358, ⟨10.1109/HOST.1997.613546⟩. ⟨hal-01821508⟩
33 Consultations
0 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More