Titre :

Denoising higher-order moments for blind digital modulation identification in multiple-antenna systems

Auteur(s) :

Kharbech, Sofiane [Auteur]
Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 [IEMN]
Simon, Eric [Auteur]
Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 [IEMN]
Télécommunication, Interférences et Compatibilité Electromagnétique - IEMN [TELICE - IEMN]
Belazi, Akram [Auteur]
Xiang, Wei [Auteur correspondant]

Titre de la revue :

IEEE Wireless Communications Letters

Pagination :

765-769

Éditeur :

IEEE comsoc

Date de publication :

2020-06

ISSN :

2162-2337

Mot(s)-clé(s) en anglais :

Noise reduction
MIMO communication
Receiving antennas
Estimation
Digital modulation
Higher order statistics
Cognitive radio
modulation identification
higher-order statistics
multiple-antenna systems
denoising features

Discipline(s) HAL :

Sciences de l'ingénieur [physics]

Résumé en anglais : [en]

This letter proposes a new technique that substantially improves blind digital modulation identification (DMI) algorithms that are based on higher-order statistics (HOS). The proposed technique takes advantage of noise ...
Lire la suite >This letter proposes a new technique that substantially improves blind digital modulation identification (DMI) algorithms that are based on higher-order statistics (HOS). The proposed technique takes advantage of noise power estimation to make an offset on higher-order moments (HOM), thus getting an estimate of noise-free HOM. When tested for multiple-antenna systems, the proposed method outperforms other DMI algorithms, in terms of identification accuracy, that are based only on cumulants or do not consider HOM denoising, even for a receiver with impairments. The improvement is achieved with the same order of complexity of the common HOS-based DMI algorithms in the same context.Lire moins >

Langue :

Anglais

Vulgarisation :

Non

Collections :

• Institut d'Électronique, de Microélectronique et de Nanotechnologie (IEMN) - UMR 8520

Source :

Harvested from HAL