Pilotless recovery of clipped OFDM signals by compressive sensing over reliable data carriers

Handle URI:
http://hdl.handle.net/10754/564552
Title:
Pilotless recovery of clipped OFDM signals by compressive sensing over reliable data carriers
Authors:
Al-Safadi, Ebrahim B.; Al-Naffouri, Tareq Y.
Abstract:
In this paper we propose a novel method of clipping mitigation in OFDM using compressive sensing that completely avoids using reserved tones or channel-estimation pilots. The method builds on selecting the most reliable perturbations from the constellation lattice upon decoding at the receiver (in the frequency domain), and performs compressive sensing over these observations in order to completely recover the sparse nonlinear distortion in the time domain. As such, the method provides a practical solution to the problem of initial erroneous decoding decisions in iterative ML methods, and the ability to recover the distorted signal in one shot. © 2012 IEEE.
KAUST Department:
Electrical Engineering Program
Publisher:
Institute of Electrical and Electronics Engineers (IEEE)
Journal:
2012 IEEE 13th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)
Conference/Event name:
2012 IEEE 13th International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2012
Issue Date:
Jun-2012
DOI:
10.1109/SPAWC.2012.6292976
ARXIV:
arXiv:1111.3274
Type:
Conference Paper
ISBN:
9781467309714
Additional Links:
http://arxiv.org/abs/arXiv:1111.3274v1
Appears in Collections:
Conference Papers; Electrical Engineering Program

Full metadata record

DC FieldValue Language
dc.contributor.authorAl-Safadi, Ebrahim B.en
dc.contributor.authorAl-Naffouri, Tareq Y.en
dc.date.accessioned2015-08-04T07:03:48Zen
dc.date.available2015-08-04T07:03:48Zen
dc.date.issued2012-06en
dc.identifier.isbn9781467309714en
dc.identifier.doi10.1109/SPAWC.2012.6292976en
dc.identifier.urihttp://hdl.handle.net/10754/564552en
dc.description.abstractIn this paper we propose a novel method of clipping mitigation in OFDM using compressive sensing that completely avoids using reserved tones or channel-estimation pilots. The method builds on selecting the most reliable perturbations from the constellation lattice upon decoding at the receiver (in the frequency domain), and performs compressive sensing over these observations in order to completely recover the sparse nonlinear distortion in the time domain. As such, the method provides a practical solution to the problem of initial erroneous decoding decisions in iterative ML methods, and the ability to recover the distorted signal in one shot. © 2012 IEEE.en
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en
dc.relation.urlhttp://arxiv.org/abs/arXiv:1111.3274v1en
dc.titlePilotless recovery of clipped OFDM signals by compressive sensing over reliable data carriersen
dc.typeConference Paperen
dc.contributor.departmentElectrical Engineering Programen
dc.identifier.journal2012 IEEE 13th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)en
dc.conference.date17 June 2012 through 20 June 2012en
dc.conference.name2012 IEEE 13th International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2012en
dc.conference.locationCesmeen
dc.contributor.institutionElectrical Engineering Department, King Fahd University of Petroleum and Minerals, Dhahran 31261, Saudi Arabiaen
dc.identifier.arxividarXiv:1111.3274en
kaust.authorAl-Naffouri, Tareq Y.en
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