Multiple user maximum likeliehood based sequence estimation for unknown, frequency selective, fast time varying channels.

In this paper maximum likelihood sequence estimation (MLSE) is applied tounknown, frequency selective, fast time-varying channels. Assuming a first order Gauss-Markov probabilistic model for the FIR intersymbol interference (ISI) channels, a maximum a-posterior (MAP) or ML cost function for the communication symbols is obtained by integration over the channel FIR parameters. A reduced-complexity, time-recursive sequence estimationalgorithm is then described which is based on per survivor precessing (PSP) and reduced state sequence estimation (RSSE).

Main Author:	Pytel, Diane.
Other Authors:	Buckley, Kevin., Perry, Richard.
Language:	English
Published:	2001
Online Access:	http://ezproxy.villanova.edu/login?url=https://digital.library.villanova.edu/Item/vudl:178444