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

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2 Author(s)
A. Goupil ; FT R&D/DMR/DDH, CCETT, Cesson Sevigne, France ; J. Palicot

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

Published in:

Acoustics, Speech, and Signal Processing, 2001. Proceedings. (ICASSP '01). 2001 IEEE International Conference on  (Volume:4 )

Date of Conference:

2001