Adaptive channel equalization using context trees
O.E. Kelly, Don H. Johnson · 2002
The maximum likelihood sequence estimator is the optimal receiver for the intersymbol interference (ISI) channel with additive white noise. A receiver is demonstrated that estimates sequence likelihood using a variable order Markov model constructed from a crudely quantized training sequence. Receiver performance is relatively unaffected by heavy-tailed noise that can undermine the performance of Gaussian based algorithms such as decision feedback equalization with gradient based (LMS) adaptation.