Burst Mode Non-Causal Decision-Feedback Equalization and Blind MLSE

We propose a decision-aided equalizer that uses past symbol decisions, like classical decision-feedback equalizers, but also future decisions, hence the name Non-Causal DecisionFeedback Equalizer (NCDFE). Its derivation is done in a burst processing and multichannel context, using Maximum Likelihood Sequence Estimation (MLSE). The forward lter of the NCDFE is proportional to the channel matched lter and the feedback lter is the cascade of the channel and the forward lter (without the central coe cient). This NCDFE corresponds to the Unbiased MMSE solution. Blind MLSE is usually solved using alternating minimizations. We propose to replace herein the repeated use of the Viterbi algorithm with the much less complex NCDFE. Finally, some simulation results are presented