Paper data
Title:
Robustness of the finitelength MMSEDFE with respect to channel and secondorder statistics estimation errors Author(s): Liavas Athanasios, Department of Mathematics, University of the Aegean, 83200 Karlovassi, Greece Page numbers in the proceedings: Volume II pp 6164 Session: Non linear Techniques for Channel Equalization (1/2)
Paper abstract
The filters of the finitelength minimum meansquare error decisionfeedback equalizer (MMSEDFE) can be computed by assuming perfect knowledge of the channel impulse response and the input and noise secondorder statistics. In practice, we estimate the unknown quantities and thus inevitable estimation errors arise. In this work, we model the estimation errors as small perturbations and we derive a secondorder approximation to the excess MSE. Then, assuming that the input and noise SOS are perfectly known, we derive an expression for the mean excess MSE in terms of the channel estimation error covariance matrix. Analogous expressions involving the noise and input SOS estimation error covariance matrices appear in [1].
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