Time frequency and Kalman filter based ...
Type de document :
Communication dans un congrès avec actes
Titre :
Time frequency and Kalman filter based baud rate estimator
Auteur(s) :
Boulinguez, David [Auteur]
Institut Supérieur de l'Electronique et du Numérique - Lille [ISEN-Lille]
Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 [IEMN]
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]
Institut Supérieur de l'Electronique et du Numérique - Lille [ISEN-Lille]
Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 [IEMN]
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
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 >
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
Source :