Wideband multilinear array processing through tensor decomposition - Archive ouverte HAL Accéder directement au contenu
Communication Dans Un Congrès Année : 2015

Wideband multilinear array processing through tensor decomposition

Résumé

Our goal is to devise a wideband High-Resolution technique that does not require a priori knowledge of DoA rough estimates, and that is able to exploit multiple spatial invariances.Existing tensor array processing techniques are limited to the narrowband case. On the other hand, wideband Esprit has only been proposed with focusing matrices, requiring a priori DoA knowledge.We resort to the decomposition of tensors built on space, space translation and frequency diversities, and demonstrate the good behavior of the algorithm proposed.
Fichier principal
Vignette du fichier
Tensor-Wideband-v9.pdf (306.63 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-01206915 , version 1 (29-09-2015)

Identifiants

Citer

Francesca Raimondi, Pierre Comon, Olivier J.J. Michel. Wideband multilinear array processing through tensor decomposition. ICASSP 2016 - 41st IEEE International Conference on Acoustics, Speech and Signal Processing, Mar 2016, Shanghai, China. ⟨10.1109/ICASSP.2016.7472218⟩. ⟨hal-01206915⟩
462 Consultations
424 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More