The mean-square delayed decision feedback sequence detector

In signal equalization, a detection technique that allows reduction of the number of states of the Viterbi detector is the delayed decision feedback sequence detector (DDFSD). In order to achieve good performance, it is crucial to operate an appropriate prefiltering of the received sequence before the DDFSD. The main novelty of the paper is performance evaluation of the DDFSD when the feedforward filter of the minimum mean-square error decision feedback equalizer (DFE) is adopted as prefilter. The union upper bound is used to evaluate the probability of first error event and truncation of the sum appearing in the bound to the error sequences that dominate the performance is discussed. In the paper it is also shown that the feedforward filter of the minimum mean-square error DFE leads to maximum likelihood sequence detection with minimum number of states, which seems to be a novel result.