Blind digital modulation identification ...
Type de document :
Article dans une revue scientifique
Titre :
Blind digital modulation identification for spatially-correlated MIMO systems
Auteur(s) :
Hassan, Kais [Auteur]
Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 [IEMN]
Dayoub, Iyad [Auteur]
Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 [IEMN]
Hamouda, Walaa [Auteur]
Concordia University [Montreal]
Nsiala-Nzéza, Crépin [Auteur]
Laboratoire Electronique, Ondes et Signaux pour les Transports [INRETS/LEOST]
Berbineau, Marion [Auteur]
Laboratoire Electronique, Ondes et Signaux pour les Transports [INRETS/LEOST]
Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 [IEMN]
Dayoub, Iyad [Auteur]
Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 [IEMN]
Hamouda, Walaa [Auteur]
Concordia University [Montreal]
Nsiala-Nzéza, Crépin [Auteur]
Laboratoire Electronique, Ondes et Signaux pour les Transports [INRETS/LEOST]
Berbineau, Marion [Auteur]
Laboratoire Electronique, Ondes et Signaux pour les Transports [INRETS/LEOST]
Titre de la revue :
IEEE Transactions on Wireless Communications
Pagination :
683-693
Éditeur :
Institute of Electrical and Electronics Engineers
Date de publication :
2012
ISSN :
1536-1276
Mot(s)-clé(s) en anglais :
Modulation
MIMO
Feature extraction
Vectors
Correlation
Signal processing algorithms
Signal to noise ratio
MIMO
Feature extraction
Vectors
Correlation
Signal processing algorithms
Signal to noise ratio
Discipline(s) HAL :
Sciences de l'ingénieur [physics]
Résumé en anglais : [en]
Modulation type is one of the most important characteristics used in signal waveform identification and classification. Spatial correlation is a crucial factor for practical multiple-input multiple-output (MIMO) systems. ...
Lire la suite >Modulation type is one of the most important characteristics used in signal waveform identification and classification. Spatial correlation is a crucial factor for practical multiple-input multiple-output (MIMO) systems. This paper addresses the problem of blind digital modulation identification in spatially-correlated MIMO systems. The proposed algorithm is verified using higher order statistical moments and cumulants of the received signal. The purpose is to discriminate among different M-ary shift keying linear modulation schemes without any priori signal information. This study employs several MIMO techniques to identify the modulation with and without channel state information (CSI). The proposed classifier shows a high identification performance in acceptable signal-to-noise ratio (SNR) range.Lire moins >
Lire la suite >Modulation type is one of the most important characteristics used in signal waveform identification and classification. Spatial correlation is a crucial factor for practical multiple-input multiple-output (MIMO) systems. This paper addresses the problem of blind digital modulation identification in spatially-correlated MIMO systems. The proposed algorithm is verified using higher order statistical moments and cumulants of the received signal. The purpose is to discriminate among different M-ary shift keying linear modulation schemes without any priori signal information. This study employs several MIMO techniques to identify the modulation with and without channel state information (CSI). The proposed classifier shows a high identification performance in acceptable signal-to-noise ratio (SNR) range.Lire moins >
Langue :
Anglais
Comité de lecture :
Oui
Audience :
Internationale
Vulgarisation :
Non
Source :