Upper bounds to the error probability of decision feedback equalization

Author

Altekar, Shirish A. ; Beaulieu, Norman C.

Volume

39

Issue

1

fYear

1993

fDate

1/1/1993 12:00:00 AM

Firstpage

145

Lastpage

156

Abstract

The exact computation of the symbol error probability of systems using decision feedback equalization is difficult due to the propagation of errors. New upper bounds to the error probability of decision feedback equalization, which take error propagation into account, are developed. The derivations of the bounds assume a causal channel response, independent data symbols, and independent noise samples. The bounds are valid for any noise process that has a symmetric and unimodal probability density function. In some cases, the new bounds are significantly tighter than a well-known upper bound of D.L. Duttweiler et al. (1974)

Keywords

equalisers; error statistics; feedback; filtering and prediction theory; intersymbol interference; DFE; causal channel response; decision feedback equalization; error propagation; independent data symbols; independent noise samples; intersymbol interference; probability density function; symbol error probability; upper bounds; Decision feedback equalizers; Degradation; Digital communication; Error analysis; Error probability; Intersymbol interference; Nonlinear filters; Probability density function; System performance; Upper bound;

fLanguage

English

Journal_Title

Information Theory, IEEE Transactions on

Publisher

ieee

ISSN

0018-9448

Type

jour

DOI

10.1109/18.179351

Filename

179351