Turbo estimation of channel and symbols in precoded MIMO systems

Author

Scaglione, Anna ; Vosoughi, Azadeh

Author_Institution

Sch. of Electr. & Comput. Eng., Cornell Univ., Ithaca, NY, USA

Volume

4

fYear

2004

fDate

17-21 May 2004

Abstract

We consider a block fading frequency selective multi-input multi-output (MIMO) channel in additive white Gaussian noise (AWGN). The channel input is a training vector superimposed on a linearly precoded vector of Gaussian symbols. To achieve a better performance over the conventional least-squares (LS), we utilize the linear mean square error (LMMSE) symbol estimate to improve the initial LS estimate and update the symbol estimation accordingly. We provide the guidelines to design training which minimizes the MSE of the initial LS estimate.

Keywords

AWGN channels; MIMO systems; channel coding; channel estimation; fading channels; least mean squares methods; mobile radio; turbo codes; AWGN channel; Gaussian symbols; LMMSE symbol estimate; MIMO channel; additive white Gaussian noise; block fading; channel estimation; frequency selective channel; initial LS estimate; least-squares estimate; linear mean square error; linearly precoded vector; multi-input multi-output channel; performance; precoded MIMO systems; symbol estimation; training; training vector; turbo estimation; AWGN; Additive white noise; Channel estimation; Fading; Frequency estimation; Guidelines; MIMO; Mean square error methods; Redundancy; Vectors;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 2004. Proceedings. (ICASSP '04). IEEE International Conference on

ISSN

1520-6149

Print_ISBN

0-7803-8484-9

Type

conf

DOI

10.1109/ICASSP.2004.1326851

Filename

1326851