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

fYear

2005

fDate

4-8 Sept. 2005

Firstpage

1

Lastpage

4

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing Conference, 2005 13th European

Conference_Location

Antalya

Print_ISBN

978-160-4238-21-1

Type

conf

Filename

7078266