Adaptive Baum-Welch algorithms for frequency-selective fading channels

Author

Nissilä, Mauri ; Pasupathy, Subbarayan

Author_Institution

VTT Electron., Oulu, Finland

Volume

1

fYear

2002

fDate

2002

Firstpage

79

Lastpage

83

Abstract

The problem of adaptive equalization of the time-varying frequency-selective channel is studied by using the adaptive Baum-Welch algorithm. In particular, blind LMS and blind RLS channel estimators are derived and they are combined with the well-known forward-backward processing SISO algorithm for known channels. An application of the proposed algorithms to the iterative "turbo-processing" receivers illustrated how the blind LMS and blind RLS estimators can efficiently utilize the extrinsic information obtained from the decoder SISO in order to enhance their estimation accuracy

Keywords

Rayleigh channels; adaptive equalisers; adaptive estimation; adaptive signal processing; blind equalisers; decoding; least mean squares methods; modulation coding; quadrature phase shift keying; receivers; Rayleigh fading channel; adaptive Baum-Welch algorithms; adaptive equalization; blind LMS channel estimator; blind RLS channel estimator; coded QPSK transmission system; decoder; estimation accuracy; forward-backward processing SISO algorithm; frequency-selective fading channels; iterative turbo-processing receivers; time-varying frequency-selective channel; uncoded QPSK transmission system; Channel estimation; Detectors; Frequency estimation; Frequency-selective fading channels; Iterative algorithms; Least squares approximation; Maximum likelihood detection; Maximum likelihood estimation; Parameter estimation; Resonance light scattering;

fLanguage

English

Publisher

ieee

Conference_Titel

Communications, 2002. ICC 2002. IEEE International Conference on

Conference_Location

New York, NY

Print_ISBN

0-7803-7400-2

Type

conf

DOI

10.1109/ICC.2002.996821

Filename

996821