Title :
Time-recursive maximum likelihood based sequence estimation for unknown ISI channels
Author :
Chen, Hai ; Buckley, Kevin ; Perry, Richard
Author_Institution :
Dept. of Electr. & Comput. Eng., Villanova Univ., PA, USA
fDate :
Oct. 29 2000-Nov. 1 2000
Abstract :
In this paper MLSE (maximum likelihood sequence estimation) is applied to unknown ISI (inter-symbol interference) fast time-varying channels. Assuming a probabilistic model for an FIR channel, a maximum a-posterior (MAP) or ML cost function for the communication symbols is obtained by integration over the channel FIR parameters. A time-recursive (i.e. on-line) sequence estimation algorithm is then identified.
Keywords :
Gaussian channels; Markov processes; adaptive signal processing; intersymbol interference; maximum likelihood sequence estimation; time-varying channels; transient response; FIR channel; Gauss-Markov channel; ISI channels; MAP cost function; ML cost function; MLSE; adaptive per-survivor processing; channel FIR parameters; communication symbols; computational complexity reduction; fast time-varying channels; generalized Viterbi algorithm; integration; inter-symbol interference; maximum a-posterior cost function; optimum time-recursive algorithm; probabilistic model; sequence estimation algorithm; time-independent Gaussian channel; time-recursive approximation; time-recursive maximum likelihood sequence estimation; Channel estimation; Decision feedback equalizers; Finite impulse response filter; Gaussian channels; Intersymbol interference; Least squares approximation; Maximum likelihood estimation; Resonance light scattering; Time-varying channels; Viterbi algorithm;
Conference_Titel :
Signals, Systems and Computers, 2000. Conference Record of the Thirty-Fourth Asilomar Conference on
Conference_Location :
Pacific Grove, CA, USA
Print_ISBN :
0-7803-6514-3
DOI :
10.1109/ACSSC.2000.910665
