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.
Format: Villanova Faculty Authorship
Language: English
Published: 2001
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