Title :
Kalman smoothing based channel estimation for space-time block coding
Author :
Enescu, Mihai ; Koivunen, Visa
Author_Institution :
Signal Process. Lab., Helsinki Univ. of Technol., Helsinki, Finland
Abstract :
This paper addresses the problem of channel estimation and tracking for space-time block coding. The coding/decoding technique allows using Kalman smoothing in estimating time-selective fading channels. In the simulations it is shown that this technique can preserve the orthogonality property of the decoding matrix even for time-selective channels. A realistic channel model described in COST 207 project is used in our examples.
Keywords :
Kalman filters; channel coding; channel estimation; decoding; fading channels; matrix algebra; smoothing methods; space-time block codes; COST 207 project; Kalman smoothing based time-selective fading channel estimation; channel tracking; decoding matrix orthogonality; space-time block coding; Abstracts; Channel estimation; Encoding; Europe; GSM; Kalman filters; Transmitters;
Conference_Titel :
Signal Processing Conference, 2002 11th European
Conference_Location :
Toulouse