Turbo detection with recursive EM channel estimation

Author

Dong, Bai ; Hong, Liu ; Qing-Lin, Liang

Author_Institution

Inst. of Electron. Eng., Peking Univ., Beijing, China

Volume

B

fYear

2004

fDate

21-24 Nov. 2004

Firstpage

25

Abstract

A novel semi-blind joint channel parameters and data estimator is proposed in this paper. Recursive expectation-maximization (REM) algorithm is naturally embedded in the framework of turbo detector to perform iterative estimation and detection. The REM recursive times needed for converging is much decreased in such framework and it is applicable to time-variant/invariant channel. Simulation results show that the proposed detector works well with rough initial channel estimate obtained with very short training sequence, which improves the spectrum efficiency.

Keywords

channel coding; channel estimation; convergence of numerical methods; intersymbol interference; iterative methods; optimisation; recursive estimation; signal detection; time-varying channels; turbo codes; REM; channel estimation; convergence; data estimator; invariant channel; iterative detection; iterative estimation; recursive expectation-maximization algorithm; semi-blind joint channel parameter; spectrum efficiency; time-variant channel; training sequence; turbo detector; Channel estimation; Detectors; Intersymbol interference; Iterative algorithms; Iterative decoding; Maximum likelihood decoding; Maximum likelihood estimation; Modulation coding; Parameter estimation; Recursive estimation;

fLanguage

English

Publisher

ieee

Conference_Titel

TENCON 2004. 2004 IEEE Region 10 Conference

Print_ISBN

0-7803-8560-8

Type

conf

DOI

10.1109/TENCON.2004.1414522

Filename

1414522