This paper presents a new approach using EM (Expectation-Maximization) algorithms for ML (maximum likelihood) sequence estimation over unknown ISI (inter-symbol interference) channels with linearly–constrained random channel coefficients which may be fast time-varying. By using the EM formulation to marginalize over the underlying channel coefficient distribution, maximum-likelihood estimates o...

| This paper presents a new algorithm, based on an EM (Expectation-Maximization) formulation, for ML (maximum likelihood) sequence estimation over unknown ISI (inter-symbol interference) channels with random channel coeecients which have a Gauss-Markov fast time-varying distribution. By using the EM formulation to marginalize over the channel coeecient distribution, maximum-likelihood estimates...