Blind Calibration for Phase Shifts in Compressive Systems

Abstract : We consider a blind calibration problem in a compressed sensing measurement system in which each sensor introduces an unknown phase shift to be determined. We show that this problem can be approached similarly to the problem of phase retrieval from quadratic measurements. Furthermore, when dealing with measurements generated from multiple unknown (but sparse) signals, we extend the approach for phase retrieval to solve the calibration problem in order to recover the signals jointly along with the phase shift parameters. The proposed methods are shown to have significantly better recovery performance than individual recovery of the input signals when the number of input signals are sufficiently large.
Type de document :
Document associé à des manifestations scientifiques
Signal Processing with Adaptive Sparse Structured Representations (SPARS 2013), Jul 2013, Lausanne, Switzerland
Liste complète des métadonnées

Littérature citée [2 références]  Voir  Masquer  Télécharger

https://hal.inria.fr/hal-00811848
Contributeur : Cagdas Bilen <>
Soumis le : jeudi 11 avril 2013 - 11:02:14
Dernière modification le : mercredi 11 avril 2018 - 02:00:15
Document(s) archivé(s) le : vendredi 12 juillet 2013 - 04:05:23

Fichiers

spars_abstract.pdf
Fichiers produits par l'(les) auteur(s)

Identifiants

  • HAL Id : hal-00811848, version 1

Citation

Cagdas Bilen, Rémi Gribonval, Gilles Puy, Laurent Daudet. Blind Calibration for Phase Shifts in Compressive Systems. Signal Processing with Adaptive Sparse Structured Representations (SPARS 2013), Jul 2013, Lausanne, Switzerland. 〈hal-00811848〉

Partager

Métriques

Consultations de la notice

1226

Téléchargements de fichiers

132