Adaptive channel equalization using context trees

Author

Kelly, O.E. ; Johnson, D.H.

Author_Institution

Dept. of Electr. & Comput. Eng., Rice Univ., Houston, TX, USA

Volume

3

fYear

1997

fDate

21-24 Apr 1997

Firstpage

1949

Abstract

The maximum likelihood sequence estimator is the optimal receiver for the intersymbol interference (ISI) channel with additive white noise. A receiver is demonstrated that estimates sequence likelihood using a variable order Markov model constructed from a crudely quantized training sequence. Receiver performance is relatively unaffected by heavy-tailed noise that can undermine the performance of Gaussian based algorithms such as decision feedback equalization with gradient based (LMS) adaptation

Keywords

Markov processes; adaptive equalisers; adaptive signal detection; estimation theory; intersymbol interference; maximum likelihood detection; maximum likelihood estimation; quantisation (signal); receivers; telecommunication channels; tree data structures; white noise; ISI channel; adaptive channel equalization; additive white noise; context trees; crudely quantized training sequence; heavy-tailed noise; intersymbol interference; maximum likelihood sequence estimation; variable order Markov model; Adaptive equalizers; Additive white noise; Decision feedback equalizers; Gaussian noise; Interference; Markov processes; Maximum likelihood detection; Maximum likelihood estimation; Probability; White noise;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1997. ICASSP-97., 1997 IEEE International Conference on

Conference_Location

Munich

ISSN

1520-6149

Print_ISBN

0-8186-7919-0

Type

conf

DOI

10.1109/ICASSP.1997.598924

Filename

598924