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On the robustness of the finite-length MMSE-DFE with respect to channel and second-order statistics estimation errors

Liavas Athanasios

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URIhttp://purl.tuc.gr/dl/dias/FE578220-BE9A-4788-A25C-1DABF3BFDA4D-
Identifierhttps://doi.org/10.1109/TSP.2002.804083-
Languageen-
Extent9 pagesen
TitleOn the robustness of the finite-length MMSE-DFE with respect to channel and second-order statistics estimation errorsen
CreatorLiavas Athanasiosen
CreatorΛιαβας Αθανασιοςel
PublisherInstitute of Electrical and Electronics Engineersen
Content SummaryThe finite-length minimum mean square error decision-feedback equalizer (MMSE-DFE) is an efficient structure mitigating intersymbol interference (ISI) introduced by practically all communication channels at high-enough symbol rates. The filters constituting the MMSE-DFE, as well as related performance measures, can be computed by assuming perfect knowledge of the channel impulse response and the input and noise second-order statistics (SOS). In practice, we estimate the unknown quantities, and thus, inevitable estimation errors arise. We model the estimation errors as small perturbations, and we derive a second-order approximation to the excess MSE. Furthermore, we derive second-order approximations to the mean excess MSE in terms of the parameter estimation error covariance matrices and simple and informative bounds, revealing the factors that govern the behavior of MMSE-DFE under mismatch. Simulations confirm that the derived second-order approximations provide accurate estimates of the MMSE-DFE performance degradation due to mismatch.en
Type of ItemPeer-Reviewed Journal Publicationen
Type of ItemΔημοσίευση σε Περιοδικό με Κριτέςel
Licensehttp://creativecommons.org/licenses/by/4.0/en
Date of Item2015-11-08-
Date of Publication2002-
Bibliographic CitationA. P. Liavas, “On the robustness of the finite-length MMSE-DFE with respect to channel and second-order statistics estimation errors,” IEEE Trans. Signal Proc., vol. 50, no. 11, pp. 2866–2874, Nov. 2002.doi: 10.1109/TSP.2002.804083 en

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