Institutional Repository
Technical University of Crete
EN  |  EL

Search

Browse

My Space

Near ML detection of nonlinearly distorted OFDM signal

Papailiopoulos Dimitrios S., Karystinos Georgios

Simple record


URIhttp://purl.tuc.gr/dl/dias/E7209D60-ADFA-484D-8413-E3B8A2DE7CDC-
Identifierhttps://doi.org/10.1109/ACSSC.2007.4487534-
Languageen-
Extent4en
TitleNear ML detection of nonlinearly distorted OFDM signalen
CreatorPapailiopoulos Dimitrios S.en
CreatorKarystinos Georgiosen
CreatorΚαρυστινος Γεωργιοςel
PublisherInstitute of Electrical and Electronics Engineersen
Content SummaryOrthogonal 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
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 Publication2007-
Bibliographic CitationD. 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

Services

Statistics