On the behavior of causal projections with applications
Signal Processing
Rate of convergence in approximating the spectral factor of regular stochastic sequences
IEEE Transactions on Information Theory
Competitive linear estimation under model uncertainties
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
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We approach the multiple input multiple output (MIMO) decision feedback equalization (DFE) problem in digital communications from an H∞ estimation point of view. Using the standard (and simplifying) assumption that all previous decisions are correct, we obtain an explicit parameterization of all H∞ optimal DFEs. In particular, we show that, under the above assumption, minimum mean square error (MMSE) DFEs are H∞ optimal. The H∞ approach also suggests a method for dealing with errors in previous decisions.