Radio Fading Channel Modeling, Estimation and Identification Based on the Measurement Data

Radio Fading Channel Modeling, Estimation and Identification Based on the Measurement Data

This paper is concerned with modeling and system identification of wireless channels. The models employed are in state space form, while the identification method uses the expectation-maximization (EM) algorithm and Kalman filtering. The algorithm is tested against measurement data collected by the...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Charalambous, C.D., Bultitude, R.J.C., Zhan, J., Papageorgiou, I.G.
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Cyclic redundancy check
Differential equations
Fading
Filtering algorithms
Frequency estimation
Kalman filters
Mathematical model
Radio transmitters
State-space methods
System identification
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:This paper is concerned with modeling and system identification of wireless channels. The models employed are in state space form, while the identification method uses the expectation-maximization (EM) algorithm and Kalman filtering. The algorithm is tested against measurement data collected by the Canadian Communication Research Center (CRC), and the results are presented. These include state space models and estimates of the inphase and quadrature components of the channel from measured data
ISSN:2158-9860
2158-9879
DOI:10.1109/.2005.1467051