Multiple User Maximum Likelihood Based Sequence Estimation for Unknown, Frequency Selective, Fast Time Varying Channels ¹

Diane Pytel - Kevin Buckley - Richard Perry
Department of Electrical and Computer Engineering
Villanova University
Villanova, PA 19085
E-mail: buckley(perry)@ece.villanova.edu

Abstract:

In this paper maximum likelihood sequence estimation (MLSE) is applied to unknown, 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 estimation algorithm is then describeded which is based on Per Survivor Precessing (PSP) and Reduced State Sequence Estimation (RSSE).