Title :
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
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;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2005. Proceedings. (ICASSP '05). IEEE International Conference on
Print_ISBN :
0-7803-8874-7
DOI :
10.1109/ICASSP.2005.1415827
