An ML/MMSE estimation approach to blind equalization
Shao Min, Chrysostomos L. Nikias · 2002
Blind equalization of a communication channel is achieved by jointly estimating the deterministic channel coefficients and the random data sequence. The EM algorithm is used to determine the ML estimate of the channel. To implement the EM algorithm, one needs the MMSE estimate of the data sequence for the given estimate of the channel at each step. To reduce computational complexity, a suboptimum procedure is suggested for the MMSE estimation of the data. Preliminary simulations show that the proposed algorithm converges rapidly for a short length of data even when the channel has deep nulls.>