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

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3 Author(s)
D. Pytel ; Dept. of Electr. & Comput. Eng., Villanova Univ., PA, USA ; K. Buckley ; R. Perry

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 described which is based on per survivor precessing (PSP) and reduced state sequence estimation (RSSE).

Published in:

Signals, Systems and Computers, 2001. Conference Record of the Thirty-Fifth Asilomar Conference on  (Volume:2 )

Date of Conference:

4-7 Nov. 2001