Minimum-BER linear-combiner DFE

Author

Chen, S. ; Chng, E.S. ; Mulgrew, B. ; Gibson, Garth

Author_Institution

Dept. of Electr. & Electron. Eng., Univ. of Portsmouth, UK

Volume

2

fYear

1996

fDate

23-27 Jun 1996

Firstpage

1173

Abstract

The paper derives a minimum bit error rate (BER) solution for the decision feedback equaliser (DFE) that employs a linear combination of the channel observations and the past decisions. We show that by using a geometric translation the DFE is reduced to a simpler linear equaliser. A BER expression for the linear equaliser is obtained under the assumption of linearly separable decision regions, and a method is proposed to optimally set the linear-combiner coefficients of the DFE. This minimum BER solution is superior to the usual minimum mean square error (MSE) solution. The channel is modelled as a finite impulse response (FIR) filter

Keywords

FIR filters; adaptive equalisers; decision feedback equalisers; error statistics; filtering theory; telecommunication channels; FIR filter; MMSE solution; channel observations; decision feedback equaliser; finite impulse response filter; geometric translation; linear equaliser; linear-combiner coefficients; linearly separable decision regions; minimum BER linear combiner DFE; minimum bit error rate; minimum mean square error solution; past decisions; Agricultural engineering; Bayesian methods; Bit error rate; Decision feedback equalizers; Finite impulse response filter; Mean square error methods; Nonlinear distortion; Signal to noise ratio; State feedback; Statistics;

fLanguage

English

Publisher

ieee

Conference_Titel

Communications, 1996. ICC '96, Conference Record, Converging Technologies for Tomorrow's Applications. 1996 IEEE International Conference on

Conference_Location

Dallas, TX

Print_ISBN

0-7803-3250-4

Type

conf

DOI

10.1109/ICC.1996.541394

Filename

541394