Title :
Multiple user maximum likelihood based sequence estimation for unknown, frequency selective, fast time varying channels
Author :
Pytel, Diane ; Buckley, Kevin ; Perry, Richard
Author_Institution :
Dept. of Electr. & Comput. Eng., Villanova Univ., PA, USA
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 described which is based on per survivor precessing (PSP) and reduced state sequence estimation (RSSE).
Keywords :
FIR filters; Gaussian channels; Markov processes; intersymbol interference; maximum likelihood sequence estimation; multi-access systems; multiuser channels; recursive estimation; spread spectrum communication; time-varying channels; FIR intersymbol interference channels; ISI channels; MAP cost function; ML cost function; MLSE; PSP; RSSE; channel FIR parameters; first order Gauss-Markov probabilistic model; frequency selective fast time varying channels; maximum a posterior cost function; multiple user maximum likelihood based sequence estimation; per survivor precessing; reduced state sequence estimation; reduced-complexity time-recursive sequence estimation algorithm; unknown channels; Cost function; Digital communication; Finite impulse response filter; Frequency estimation; Least squares approximation; Maximum likelihood estimation; Multiaccess communication; State estimation; Time-varying channels; Viterbi algorithm;
Conference_Titel :
Signals, Systems and Computers, 2001. Conference Record of the Thirty-Fifth Asilomar Conference on
Conference_Location :
Pacific Grove, CA, USA
Print_ISBN :
0-7803-7147-X
DOI :
10.1109/ACSSC.2001.987654
