In previous work, we have shown 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 lead to a minimal parameterization of the noise subspace, which was used to solve the deterministic maximum likelihood (DML) channel estimation problem. Here we present further contributions along two lines. One is a number of blind equalization techniques of the adaptive filtering type. We also present some robustifying modi cations of the DML problem.
Further results on blind identification and equalization of multiple FIR channels
ICASSP 1995, 20th IEEE International conference on acoustic, speech and signal processing, May 8-12, 1995, Detroit, USA
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