This paper presents a new reduced state

decision feedback Viterbi equalizer （RSSDF PSP） with two channel estimators and it works in blind.RSSDF PSP uses maximum likelihood sequence estimation （MLSE） to handle the precursors and the main cursor and the decision feedback filter to handle the post cursors.The channel estimator 1 obtains the precursors and the main cursor by the Per Surviving Processing techniques;the channel estimator 2 obtains the post cursors.Simulation results show that the RSSDF PSP has nearly the same performance as the MLSE.It provides the best tradeoff between complexity and performance of MLSE.