Compressive Domain Interference Cancellation

Abstract : In this paper we consider the scenario where a compressive sensing system acquires a signal of interest corrupted by an interfering signal. Under mild sparsity and orthogonality conditions on the signal and interference, we demonstrate that it is possible to efficiently filter out the interference from the compressive measurements in a manner that preserves our ability to recover the signal of interest. Specifically, we develop a filtering method that nulls out the interference while maintaining the restricted isometry property (RIP) on the set of potential signals of interest. The construction operates completely in the compressive domain and has computational complexity that is polynomial in the number of measurements.
Type de document :
Communication dans un congrès
Rémi Gribonval. SPARS'09 - Signal Processing with Adaptive Sparse Structured Representations, Apr 2009, Saint Malo, France. 2009
Liste complète des métadonnées

Littérature citée [13 références]  Voir  Masquer  Télécharger

https://hal.inria.fr/inria-00369498
Contributeur : Ist Rennes <>
Soumis le : vendredi 20 mars 2009 - 10:16:05
Dernière modification le : lundi 20 juin 2016 - 14:10:32
Document(s) archivé(s) le : jeudi 10 juin 2010 - 17:30:48

Fichier

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

Identifiants

  • HAL Id : inria-00369498, version 1

Collections

Citation

Mark A. Davenport, Petros T. Boufounos, Richard Baraniuk. Compressive Domain Interference Cancellation. Rémi Gribonval. SPARS'09 - Signal Processing with Adaptive Sparse Structured Representations, Apr 2009, Saint Malo, France. 2009. 〈inria-00369498〉

Partager

Métriques

Consultations de
la notice

209

Téléchargements du document

302