Time-Recursive Maximum Likelihood Based Sequence Estimation for Unknown ISI Channels¹

Hai Chen - Kevin Buckley - Richard Perry
Department of Electrical and Computer Engineering
Villanova University
Villanova, PA 19085
hchen(buckley,perry)@ece.villanova.edu

Abstract:

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.