Minimum mean squared error equalization using a priori information

By Michael Tüchler, Andrew C. Singer, Ralf Koetter. IEEE Transactions on Signal Processing, 2002

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MIMO-OFDM for High-Rate Underwater Acoustic Communications (2009, methodology): “APPENDIX MMSE EQUALIZATION WITH A PRIORI INFORMATION [17]”
Low-complexity equalization of OFDM in doubly selective channels (2004, methodology): “Unlike SIE, however, [ 31 ] assumes an LTI channel in white noise and inserts a decoding iteration after each equalization iteration.”
Single Carrier Modulation With Nonlinear Frequency Domain Equalization: An Idea Whose Time Has Come—Again (2010, methodology): “The latter provides the refined log likelihood ratio by exploiting the properties of the error correcting code, [71], [72], [79].”
ASIC Implementation of Soft-Input Soft-Output MIMO Detection Using MMSE Parallel Interference Cancellation (2011, methodology): “In summary, our method requires times less inverses than the standard approach described in Section II-C3 and also exhibits significantly smaller complexity than the methods proposed in [21], [24].”
Turbo equalization: principles and new results (2002, background): “The depicted structure leads to a rather general class of SISO equalizers consisting of an MMSE equalizer, which computes estimates of the transmitted symbols from the received symbols by minimizing the cost function .”