Performance of the multilayer perceptron-based DFE with lattice structure in linear and non-linear channels

Author

Shafi, Ahmar ; Zerguine, Azzedine

Author_Institution

Dept. of Electr. Eng., King Fahd Univ. of Pet. & Miner., Dhahran, Saudi Arabia

Volume

1

fYear

2001

fDate

4-7 Nov. 2001

Firstpage

328

Abstract

The effect of whitening the input data in a multilayer perceptron (MLP)-based decision feedback equalizer (DFE) is evaluated. It is shown that whitening the received data employing adaptive lattice channel equalization algorithms improves the convergence rate and bit error rate performances of MLP-based decision feedback equalizers. The consistency in performance is observed in time-invariant, time-varying and non-linear channels.

Keywords

adaptive equalisers; decision feedback equalisers; lattice filters; multilayer perceptrons; time-varying channels; DFE; MLP; adaptive equalization; bit error rate; channel equalization; convergence rate; decision feedback equalizer; lattice equalization; lattice filter; lattice structure; linear channels; multilayer perceptron; nonlinear channels; time-invariant channels; time-varying channels; Bit error rate; Convergence; Decision feedback equalizers; Eigenvalues and eigenfunctions; Frequency; Lattices; Least squares approximation; Multilayer perceptrons; Nonhomogeneous media; Time-varying channels;

fLanguage

English

Publisher

ieee

Conference_Titel

Signals, Systems and Computers, 2001. Conference Record of the Thirty-Fifth Asilomar Conference on

Conference_Location

Pacific Grove, CA, USA

ISSN

1058-6393

Print_ISBN

0-7803-7147-X

Type

conf

DOI

10.1109/ACSSC.2001.986941

Filename

986941