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Titel:

A Bayesian Sparse Reconstruction Framework for Mitigation of Non-Linear Effects in OFDM Systems

Dokumenttyp:
Konferenzbeitrag
Art des Konferenzbeitrags:
Vortrag / Präsentation
Autor(en):
García-Gómez, Francisco Javier; Munir, Jawad; Mezghani, Amine; Nossek, Josef A.
Abstract:
The mitigation of nonlinear distortion caused by power amplifiers (PA) in Orthogonal Frequency Division Multiplexing (OFDM) systems is an essential issue to enable energy efficient operation. We propose a new algorithm for receiver-based clipping estimation in OFDM systems that combines the existing Iterative Hard Thresholding method with a novel Bayesian framework to estimate clipping parameters at the receiver. We avoid the use of pilots and formulate the recovery problem solely on reliably de...     »
Stichworte:
Reliability, Receivers, Bayes methods, Distortion, Peak to average power ratio, Iterative methods
Dewey-Dezimalklassifikation:
620 Ingenieurwissenschaften
Herausgeber:
IEEE
Kongress- / Buchtitel:
IEEE Vehicular Technology Conference (VTC) 2016 Spring
Datum der Konferenz:
15-18 May 2016
Jahr:
2016
Jahr / Monat:
2016-05
Monat:
May
Print-ISBN:
978-1-5090-1699-0
E-ISBN:
978-1-5090-1698-3
Reviewed:
ja
Sprache:
en
Volltext / DOI:
doi:10.1109/VTCSpring.2016.7504054
WWW:
http://ieeexplore.ieee.org/document/7504054/
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