Modified Particle Swarm Optimization for Blind Deconvolution and Identification of Multichannel FIR Filters

Abstract : Blind identification of MIMO FIR systems has widely received attentions in various fields of wireless data communications. Here, we use Particle Swarm Optimization (PSO) as the update mechanism of the well-known inverse filtering approach and we show its good performance compared to original method. Specially, the proposed method is shown to be more robust against lower SNR scenarios or in cases with smaller lengths of available data records. Also, a modified version of PSO is presented which further improves the robustness and preciseness of PSO algorithm. However the most important promise of the modified version is its drastically faster convergence compared to standard implementation of PSO.
Type de document :
Article dans une revue
EURASIP Journal on Advances in Signal Processing, SpringerOpen, 2010, Volume 2010, 〈10.1155/2010/716862〉
Liste complète des métadonnées

https://hal.inria.fr/inria-00479523
Contributeur : Vahid Khanagha <>
Soumis le : vendredi 30 avril 2010 - 19:03:41
Dernière modification le : mercredi 29 novembre 2017 - 15:10:40
Document(s) archivé(s) le : jeudi 30 septembre 2010 - 16:52:44

Fichier

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

Identifiants

Collections

Citation

Vahid Khanagha, Ali Khanagha, Vahid Tabataba Vakili. Modified Particle Swarm Optimization for Blind Deconvolution and Identification of Multichannel FIR Filters. EURASIP Journal on Advances in Signal Processing, SpringerOpen, 2010, Volume 2010, 〈10.1155/2010/716862〉. 〈inria-00479523〉

Partager

Métriques

Consultations de la notice

256

Téléchargements de fichiers

139