Time-recursive maximum likelihood based sequence estimation for unknown ISI channels

In this paper MLSE (maximum likelihood sequence estimation) is applied to unknown ISI (inter-symbol interference) fast time-varying channels. Assuming a probabilistic model for an FIR channel, a maximum a-posterior (MAP) or ML cost function for the communication symbols is obtained by integration over the channel FIR parameters. A time-recursive (i.e. on-line) sequence estimation algorithm is then identified.