Markovian model of the error probability density and application to the error propagation probability computation of the weighted, decision feedback equalizer
نویسندگان
چکیده
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 Lütkemeyer and Noll model proposed in [1]. 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 [2] is less than the one of the classical DFE.
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