Title :
A subspace method for channel estimation in soft-iterative receivers
Author :
Nicoli, M. ; Spagnolini, U.
Author_Institution :
Dip. di Elettron. e Inf., Politec. di Milano, Milan, Italy
Abstract :
In this paper we propose a new soft method for the estimation of block-fading channels based on multi-block (MB) processing. The MB estimator [1] exploits the invariance of the subspace spanned by the multipath components of the channel and it estimates the channel subspace by sample averaging over a frame of blocks. Here the MB method is extended to incorporate also soft information, which is available in iterative (turbo) equalizers. The mean square error (MSE) of the soft-based estimate is evaluated analytically and validated by simulations. The comparison with the conventional training-based block-by-block estimate shows the benefits of the proposed approach on the turbo equalizer convergence.
Keywords :
channel estimation; fading channels; iterative methods; mean square error methods; radio receivers; MB estimator; MSE; block-fading channel estimation; channel subspace; iterative equalizers; mean square error; multiblock processing; multipath components; soft method; soft-iterative receivers; subspace invariance; subspace method; turbo equalizers; Channel estimation; Decoding; Estimation; Iterative decoding; Iterative methods; Receivers; Training;
Conference_Titel :
Signal Processing Conference, 2005 13th European
Conference_Location :
Antalya
Print_ISBN :
978-160-4238-21-1
