Kalman filter of channel modes in time-varying wireless systems

Author

Bosisio, R. ; Nicoli, M. ; Spagnolini, U.

Author_Institution

Dip. Elettronica e Infortnazione, Politecnico di Milano, Italy

Volume

3

fYear

2005

fDate

18-23 March 2005

Abstract

In mobile communications the movement of the users makes the propagation channel to be time-varying. Algorithms that track channel variations have to trade between complexity and accuracy. Since the second-order statistic of time-varying channels is stationary, estimation of the channel can be reduced to track a set of r uncorrelated parameters. Based on this decomposition, in this paper we propose to simplify the optimum Kalman filter (KF) by tracking the r channel modes separately and by using the steady-state solution of the KF gain.

Keywords

Kalman filters; channel estimation; communication complexity; higher order statistics; mobility management (mobile radio); optimisation; time-varying channels; Kalman filter; algorithm accuracy; algorithm complexity; channel estimation; channel modes; channel variation tracking algorithms; mobile communications; mobile user movement; optimum Kalman filter; second-order statistic; steady-state KF gain solution; time-varying channels; time-varying propagation channel; time-varying wireless systems; uncorrelated parameters; Channel estimation; Least squares approximation; Maximum likelihood estimation; Mobile communication; Nonlinear filters; Statistics; Steady-state; Time varying systems; Time-varying channels; Vectors;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 2005. Proceedings. (ICASSP '05). IEEE International Conference on

ISSN

1520-6149

Print_ISBN

0-7803-8874-7

Type

conf

DOI

10.1109/ICASSP.2005.1415827

Filename

1415827