Time frequency and Kalman filter based ...
Document type :
Communication dans un congrès avec actes
Title :
Time frequency and Kalman filter based baud rate estimator
Author(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]
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]
Conference title :
3rd International Symposium on Image and Signal Processing and Analysis, ISPA 2003
City :
Rome
Country :
Italie
Start date of the conference :
2003-09-18
Book title :
Proceedings of the 3rd International Symposium on Image and Signal Processing and Analysis, ISPA 2003
Publisher :
University of Zagreb, Zagreb, Croatia
Publication date :
2003
English keyword(s) :
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
HAL domain(s) :
Sciences de l'ingénieur [physics]
English abstract : [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 ...
Show more >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.Show less >
Show more >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.Show less >
Language :
Anglais
Peer reviewed article :
Oui
Audience :
Internationale
Popular science :
Non
Source :