Markovian model of the error probability density and application to the error propagation probability computation of the weighted, decision feedback equalizer

Author

Goupil, A. ; Palicot, J.

Author_Institution

FT R&D/DMR/DDH, CCETT, Cesson Sevigne, France

Volume

4

fYear

2001

fDate

2001

Firstpage

2525

Abstract

A Markovian model of the error probability density for decision feedback equalizer is proposed and its application to the error propagation probability computation is derived. The model is a generalization of the Lutkemeyer and Noll (see ICC, Porto Carras, Greece, June 1998). It is obtained by the analysis of the Gaussian mixture distribution of the errors which follows a Markov process. The analysis of this process shows that the error propagation probability of the weighted DFE is less than the one of the classical DFE

Keywords

Gaussian distribution; Markov processes; decision feedback equalisers; error statistics; Gaussian mixture distribution; Markov process; Markovian model; error probability density; error propagation probability; weighted DFE; weighted decision feedback equalizer; wireless networks; 3G mobile communication; Decision feedback equalizers; Degradation; Error probability; GSM; Markov processes; Maximum likelihood estimation; Mean square error methods; Research and development; Wireless networks;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 2001. Proceedings. (ICASSP '01). 2001 IEEE International Conference on

Conference_Location

Salt Lake City, UT

ISSN

1520-6149

Print_ISBN

0-7803-7041-4

Type

conf

DOI

10.1109/ICASSP.2001.940515

Filename

940515