Tensor DoA Estimation with Directional Elements

Francesca Raimondi 1 Pierre Comon 1
1 GIPSA-CICS - CICS
GIPSA-DIS - Département Images et Signal
Abstract : Directivity gain patterns are treated as a physical diversity for tensor array processing, replacing space diversity, in addition to time and space shift diversities. We show that the tensor formulation allows to estimate Directions of Arrival (DoAs) under the assumption of unknown gain patterns, improving the performance of the omnidirectional case. We propose a trilinear model where one dimension of the multi-way data array is fully provided by gain patterns, allowing tensor approaches even when space diversity is missing due to sensor overlap.
Type de document :
Article dans une revue
IEEE Signal Processing Letters, Institute of Electrical and Electronics Engineers, 2017, 24 (5), pp. 648 - 652. <http://ieeexplore.ieee.org.gaelnomade-1.grenet.fr/document/7883934/>. <10.1109/LSP.2017.2685244>
Liste complète des métadonnées

https://hal.archives-ouvertes.fr/hal-01369713
Contributeur : Francesca Raimondi <>
Soumis le : mardi 14 février 2017 - 16:21:06
Dernière modification le : mardi 11 avril 2017 - 01:09:59

Fichier

SPL-Patterns-v6-hal.pdf
Fichiers produits par l'(les) auteur(s)

Licence


Distributed under a Creative Commons Paternité - Pas d'utilisation commerciale 4.0 International License

Identifiants

Collections

Citation

Francesca Raimondi, Pierre Comon. Tensor DoA Estimation with Directional Elements. IEEE Signal Processing Letters, Institute of Electrical and Electronics Engineers, 2017, 24 (5), pp. 648 - 652. <http://ieeexplore.ieee.org.gaelnomade-1.grenet.fr/document/7883934/>. <10.1109/LSP.2017.2685244>. <hal-01369713v2>

Partager

Métriques

Consultations de
la notice

183

Téléchargements du document

29