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Hier finden Sie wissenschaftliche Publikationen aus den FraunhoferInstituten. Extrapolated projection methods for PAPR reduction
 Institute of Electrical and Electronics Engineers IEEE; IEEE Signal Processing Society; European Association for Speech, Signal and Image Processing EURASIP: 26th European Signal Processing Conference, EUSIPCO 2018 : 37 September 2018, Roma, Italy Piscataway, NJ: IEEE, 2018 ISBN: 9789082797015 ISBN: 9789082797008 ISBN: 9781538637364 ISBN: 9789082797015 S.18101814 
 European Signal Processing Conference (EUSIPCO) <26, 2018, Roma> 

 Englisch 
 Konferenzbeitrag 
 Fraunhofer HHI () 
Abstract
Over more than the last decade, there has been a significant effort in research to reduce the peaktoaverage power ratio (PAPR) in orthogonal frequencydivision multiplexing (OFDM) systems. This effort has been mainly driven by the need for enhancing the efficiency of power amplifiers. In this paper, we formulate the PAPR reduction problem as a feasibility problem in a real Hilbert space, and provide algorithmic solutions based on extrapolated projection methods with suitably constructed constraint sets. This settheoretic approach provides a high flexibility and includes various existing PAPR reduction techniques as special cases. In particular, it allows for balancing between the spectral efficiency and signal distortion on a symboltosymbol basis, while supporting arbitrary combinations of quadrature amplitude modulation (QAM) constellations. Moreover, we extend the proposed approach to reuse the phase of pilot subcarriers that are simultaneously used for channel estimation. Simulations show remarkable performance gains resulting from extrapolation, which makes it possible to achieve a considerable PAPR reduction in just a few iterations with low computational cost.