Abstract
Slock and Papadias (1994) showed that in the case of multiple antennas and/or oversampling, FIR ZF equalizers exist for FIR channels and can be obtained from the noise-free linear prediction (LP) problem. The LP problem also leads to a minimal parameterization of the noise subspace, which was used to solve the deterministic maximum likelihood (DML) channel estimation problem. The present authors provide further contributions along two lines. One is a number of blind equalization techniques of the adaptive filtering type. They also present some robustifying modifications of the DML problem.
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