Titre :

Time frequency and Kalman filter based baud rate estimator

Auteur(s) :

Boulinguez, David [Auteur]
Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 [IEMN]
Institut Supérieur de l'Electronique et du Numérique - Lille [ISEN-Lille]
Garnier, Christelle [Auteur]
Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 [IEMN]
Delignon, Yves [Auteur]
Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 [IEMN]
Clavier, Laurent [Auteur]
Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 [IEMN]

Titre de la manifestation scientifique :

3rd International Symposium on Image and Signal Processing and Analysis, ISPA 2003

Ville :

Rome

Pays :

Italie

Date de début de la manifestation scientifique :

2003-09-18

Titre de l’ouvrage :

Proceedings of the 3rd International Symposium on Image and Signal Processing and Analysis, ISPA 2003

Éditeur :

University of Zagreb, Zagreb, Croatia

Date de publication :

2003

Mot(s)-clé(s) en anglais :

Time frequency analysis
Frequency estimation
Signal analysis
Digital modulation
Data mining
Information analysis
Performance analysis
Signal processing
Image analysis
Additive white noise

Discipline(s) HAL :

Sciences de l'ingénieur [physics]

Résumé en anglais : [en]

With the rising number of modulation types used in multiuser communication systems, we need to find efficient methods to discriminate them. Indeed, modulation recognition has become important in wireless communications for ...
Lire la suite >With the rising number of modulation types used in multiuser communication systems, we need to find efficient methods to discriminate them. Indeed, modulation recognition has become important in wireless communications for both civilian and military applications. Traditionally, to classify modulation types, most studies assume abundant a priori knowledge about modulated signals such as binary data rate, baud rate or carrier frequency. However, new transmission receiver systems need to classify automatically digital modulations without specific information. In the course of making decision on modulation type, these parameters may have to be estimated in order to perform efficient demodulation. This paper proposes a new way of estimating baud rate of digital modulated signals. This approach is based on abrupt changes detection in time-frequency plane and on abrupt change periodicity analysis using Kalman filtering.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