Kalman filter of channel modes in time-varying wireless systems

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Volumn III, Issue , 2005, Pages 785-788

  Bosisio, R ^a   Nicoli, M ^a   Spagnolini, U ^a  

^a POLITECNICO DI MILANO   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTATIONAL COMPLEXITY; KALMAN FILTERING; OPTIMIZATION; PARAMETER ESTIMATION; TIME VARYING CONTROL SYSTEMS; USER INTERFACES;

OPTIMUM KALMAN FILTERS; STEADY STATE SOLUTION; TIME VARYING CHANNELS; TRACK CHANNEL VARIATIONS;

WIRELESS TELECOMMUNICATION SYSTEMS;

EID: 33646804500     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2005.1415827     Document Type: Conference Paper

References (9)

1. P. Castoldi, R. Raheli, "Optimal versus PSP-based sequence for Rayleigh fading channel", Proc. IEEE GLOBECOM, pp. 72-76, Nov. 1995.
2. R. Raheli, A. Polydoros and C. K. Tzou, "The principle of Per-Survivor-Processing: A general approach to approximate and adaptive MLSE", Proc. IEEE GLOBECOM, vol. 2, pp. 1170-1175, 1991.
3. L. Lindbom, "Simplified Kalman estimation of fading mobile radio channel: high performance at LMS computational cost", Proc. IEEE ICASSP, Vol. 3, pp. 352-355, April 1993.
4. M.E.Rollins and S.J.Simmons, "A parallel reduced-complexity filtering algorithm for sub-optimal Kalman Per Survivor Processing", Proc. IEEE GLOBECOM, pp. 8-12, 1994.
5. L. Lindbom, "A Wiener Filtering Approach to the design of tracking algorithm", PhD Thesis, Uppsala University, Sweden, May 1995.
6. L. Lindbom, M. Sternad, A. Ahlen, "Tracking of Time-Varying Mobile Radio Channels- Part I: The Wiener LMS Algorithm", IEEE Trans. Commun., vol. 49, no. 12, pp. 2207-2217, Dec. 2001.
7. M. Nicoli, O. Simeone, U. Spagnolini, "Multislot estimation of frequency-selective fast varying channels", IEEE Trans. Commun., vol.51, no. 8, pp.1337-1347, Aug. 2003.
8. G. L.Stuber, Principles of mobile communication, Kluwer Academic Publishers, 1996.
9. S. Haykin, Adaptive filter theory, Prentice Hall, 4rd Ed. 2002.