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

Author

Charalambous, C.D. ; Bultitude, R.J.C. ; Zhan, J. ; Papageorgiou, I.G.

Author_Institution

Dept. of Electr. & Comput. Eng., NICOSIA

fYear

2005

fDate

27-29 June 2005

Firstpage

417

Lastpage

422

Abstract

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

Keywords

Kalman filters; fading channels; identification; optimisation; state-space methods; Kalman filter; expectation-maximization algorithm; state space form; system identification; wireless fading channels; Cyclic redundancy check; Differential equations; Fading; Filtering algorithms; Frequency estimation; Kalman filters; Mathematical model; Radio transmitters; State-space methods; System identification;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control, 2005. Proceedings of the 2005 IEEE International Symposium on, Mediterrean Conference on Control and Automation

Conference_Location

Limassol

ISSN

2158-9860

Print_ISBN

0-7803-8936-0

Type

conf

DOI

10.1109/.2005.1467051

Filename

1467051

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3548799