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Near ML detection of nonlinearly distorted OFDM signal

Papailiopoulos Dimitrios S., Karystinos Georgios

Απλή Εγγραφή

URIhttp://purl.tuc.gr/dl/dias/E7209D60-ADFA-484D-8413-E3B8A2DE7CDC-
Αναγνωριστικόhttps://doi.org/10.1109/ACSSC.2007.4487534-
Γλώσσαen-
Μέγεθος4en
ΤίτλοςNear ML detection of nonlinearly distorted OFDM signalen
ΔημιουργόςPapailiopoulos Dimitrios S.en
ΔημιουργόςKarystinos Georgiosen
ΔημιουργόςΚαρυστινος Γεωργιοςel
ΕκδότηςInstitute of Electrical and Electronics Engineersen
ΠερίληψηOrthogonal frequency division multiplexing (OFDM) signaling exhibits high peak-to-average power ratio (PAR) which results in large sensitivity to nonlinear distortion created by the use of a high power amplifier (HPA) at the end of a wireless transmitter. In this work, in contrast with the popular approach of amplifier input signal clipping or low-PAR OFDM signal design, we utilize HPA characteristics to develop a low-complexity iterative detector of nonlinearly distorted OFDM signals that follows the principles of steepest descent search. Simulation studies indicate that the proposed method approaches maximum-likelihood performance and offers a significant gain over plain OFDM or other competing techniques.en
ΤύποςΠλήρης Δημοσίευση σε Συνέδριοel
ΤύποςConference Full Paperen
Άδεια Χρήσηςhttp://creativecommons.org/licenses/by-nc-nd/4.0/en
Ημερομηνία2015-11-10-
Ημερομηνία Δημοσίευσης2007-
Βιβλιογραφική ΑναφοράD. S. Papailiopoulos and G. N. Karystinos, “Near ML detection of nonlinearly distorted OFDM signals,” in Proc. 2007 Asilomar Conference on Signals, Systems, and Computers, pp. 1756-1760, doi: 10.1109/ACSSC.2007.4487534en

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