Titre :

Modulation detection in intelligent transportation systems based on cooperative MIMO networks over Nakagami-m Fading

Auteur(s) :

Ben Chikha, Wassim [Auteur]
Dayoub, Iyad [Auteur]
COMmunications NUMériques - IEMN [COMNUM - IEMN]
Attia, Rabah [Auteur]

Titre de la manifestation scientifique :

2014 International Conference on Electrical Sciences and Technologies in Maghreb (CISTEM)

Ville :

Tunis

Pays :

Tunisie

Date de début de la manifestation scientifique :

2014-11-03

Titre de l’ouvrage :

Proceedings of 1st International Conference on Electrical Sciences and Technologies in Maghreb

Éditeur :

IEEE

Mot(s)-clé(s) en anglais :

Decision tree classifier
Higher order statistics
Intelligent transportation systems
Cooperative MIMO networks
Modulation detection
Nakagami-m fading

Discipline(s) HAL :

Informatique [cs]
Informatique [cs]/Réseaux et télécommunications [cs.NI]
Sciences de l'ingénieur [physics]/Traitement du signal et de l'image [eess.SP]
Informatique [cs]/Intelligence artificielle [cs.AI]
Sciences de l'ingénieur [physics]/Electronique

Résumé en anglais : [en]

Modulation recognition plays an important role in monitoring the intercepted signals for many applications such as, intelligent transportation systems (ITS). In this paper, we present an algorithm for modulation identification ...
Lire la suite >Modulation recognition plays an important role in monitoring the intercepted signals for many applications such as, intelligent transportation systems (ITS). In this paper, we present an algorithm for modulation identification dedicated for multiple-input multiple-output (MIMO) relaying broadcast channels with direct link over Nakagami-m fading. This is done based on a pattern recognition approach using higher order statistics (HOS) features and a decision tree (J48) classifier. In order to evaluate the effectiveness of space-time block coding (STBC) techniques, a comparative study is performed between the Quasi-Orthogonal STBC (QOSTBC) and the orthogonal STBC (OSTBC). Through the probability of identification and the and false alarms, we show that our proposed algorithm has the capability to discriminate between different M-ary shift keying linear modulation types in acceptable signal-to-noise ratio (SNR) even in the worst case of the Nakagani-m fading.Lire moins >

Langue :

Anglais

Comité de lecture :

Oui

Audience :

Internationale

Vulgarisation :

Non

Collections :

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

Source :

Harvested from HAL