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 intelference) 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 identifed.

Main Author: Chen, Hai.
Other Authors: Buckley, Kevin., Perry, Richard.
Format: Villanova Faculty Authorship
Language: English
Published: 2000
Online Access: http://ezproxy.villanova.edu/login?url=https://digital.library.villanova.edu/Item/vudl:178471