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Maximum-likelihood blind PAM detection

Papailiopoulos Dimitrios , Abou Elkheir G, Karystinos Georgios

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URIhttp://purl.tuc.gr/dl/dias/98B935A1-77F9-434B-BCAF-B133C81B9013-
Identifierhttps://doi.org/10.1109/ICC.2012.6364631-
Languageen-
Extent4en
TitleMaximum-likelihood blind PAM detectionen
Creator Papailiopoulos Dimitrios en
Creator Abou Elkheir Gen
CreatorKarystinos Georgiosen
CreatorΚαρυστινος Γεωργιοςel
PublisherInstitute of Electrical and Electronics Engineersen
Content SummaryBlind sequence detection offers significant gains over conventional symbol-by-symbol detection when channel knowledge is not available at the receiver. However, maximum-likelihood (ML) blind sequence detection is often intractable due to exponential complexity in the sequence length. In this work, we develop a polynomial-time ML blind sequence detector for pulse-amplitude modulation (PAM) transmissions in Rayleigh fading. Our detector follows an auxiliary-angle approach that reduces the exponential-size space of solution vectors to a polynomial-size set of candidate sequences; we prove that this significantly smaller set always contains the ML PAM sequence. Hence, with overall polynomial complexity the proposed detector solves the problem of identifying the ML PAM sequence in unknown Rayleigh fading.en
Type of ItemΠλήρης Δημοσίευση σε Συνέδριοel
Type of ItemConference Full Paperen
Licensehttp://creativecommons.org/licenses/by-nc-nd/4.0/en
Date of Item2015-11-10-
Date of Publication2012-
Bibliographic CitationD. S. Papailiopoulos, G. Abou Elkheir, and G. N. Karystinos, “Maximum-likelihood blind PAM detection,” in Proc. IEEE - International Conference on Communications,(ICC '12) pp. 2283-2287, doi: 10.1109/ICC.2012.6364631en

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