Title :

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

Author(s) :

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

Conference title :

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

City :

Tunis

Country :

Tunisie

Start date of the conference :

2014-11-03

Book title :

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

Publisher :

IEEE

English keyword(s) :

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

HAL domain(s) :

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

English abstract : [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 ...
Show more >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.Show less >

Language :

Anglais

Peer reviewed article :

Oui

Audience :

Internationale

Popular science :

Non

Collections :

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

Source :

Harvested from HAL