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Maximum-likelihood blind PAM detection

Papailiopoulos Dimitrios , Abou Elkheir G, Karystinos Georgios

Απλή Εγγραφή

URIhttp://purl.tuc.gr/dl/dias/98B935A1-77F9-434B-BCAF-B133C81B9013-
Αναγνωριστικόhttps://doi.org/10.1109/ICC.2012.6364631-
Γλώσσαen-
Μέγεθος4en
ΤίτλοςMaximum-likelihood blind PAM detectionen
Δημιουργός Papailiopoulos Dimitrios en
Δημιουργός Abou Elkheir Gen
ΔημιουργόςKarystinos Georgiosen
ΔημιουργόςΚαρυστινος Γεωργιοςel
ΕκδότηςInstitute of Electrical and Electronics Engineersen
ΠερίληψηBlind 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
ΤύποςΠλήρης Δημοσίευση σε Συνέδριοel
ΤύποςConference Full Paperen
Άδεια Χρήσηςhttp://creativecommons.org/licenses/by-nc-nd/4.0/en
Ημερομηνία2015-11-10-
Ημερομηνία Δημοσίευσης2012-
Βιβλιογραφική ΑναφοράD. 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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