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On the performance of the mismatched MMSE and LSlinear equalizers

Liavas Athanasios, Tsipouridou,D

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URIhttp://purl.tuc.gr/dl/dias/2311122B-D1EB-4529-AA93-45AAB183F382-
Identifierhttps://doi.org/10.1109/TSP.2007.894392-
Languageen-
Extent10 pagesen
TitleOn the performance of the mismatched MMSE and LS linear equalizersen
CreatorLiavas Athanasiosen
CreatorΛιαβας Αθανασιοςel
CreatorTsipouridou,Den
PublisherInstitute of Electrical and Electronics Engineersen
Content SummaryWe consider two widely referenced trained finite-length linear equalizers, namely, the mismatched minimum mean square error (MMSE) equalizer and the least-squares (LS) equalizer. Using matrix perturbation theory, we express both of them as perturbations of the ideal MMSE equalizer and we derive insightful analytical expressions for their excess mean square error. We observe that, in general, the mismatched MMSE equalizer performs (much) better than the LS equalizer. We attribute this phenomenon to the fact that the LS equalizer implicitly estimates the input second-order statistics, while the mismatched MMSE equalizer uses perfect knowledge. Thus, assuming that the input second-order statistics are known at the receiver, which is usually the case, the use of the mismatched MMSE equalizer is preferable, in general. 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 Publication2007-
Bibliographic CitationA. P. Liavas , D. Tsipouridou, “On the performance of the mismatched MMSE and LS linear equalizers,” IEEE Trans. Signal Proc., vol. 55, no. 7, pp. 3302–3311, Jul. 2007.doi: 10.1109/TSP.2007.894392en

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