Peak reduction and clipping mitigation in OFDM by augmented compressive sensing

Handle URI:
http://hdl.handle.net/10754/562232
Title:
Peak reduction and clipping mitigation in OFDM by augmented compressive sensing
Authors:
Al-Safadi, Ebrahim B.; Al-Naffouri, Tareq Y.
Abstract:
This work establishes the design, analysis, and fine-tuning of a peak-to-average-power-ratio (PAPR) reducing system, based on compressed sensing (CS) at the receiver of a peak-reducing sparse clipper applied to an orthogonal frequency-division multiplexing (OFDM) signal at the transmitter. By exploiting the sparsity of clipping events in the time domain relative to a predefined clipping threshold, the method depends on partially observing the frequency content of the clipping distortion over reserved tones to estimate the remaining distortion. The approach has the advantage of eliminating the computational complexity at the transmitter and reducing the overall complexity of the system compared to previous methods which incorporate pilots to cancel nonlinear distortion. Data-based augmented CS methods are also proposed that draw upon available phase and support information from data tones for enhanced estimation and cancelation of clipping noise. This enables signal recovery under more severe clipping scenarios and hence lower PAPR can be achieved compared to conventional CS techniques. © 2012 IEEE.
KAUST Department:
Electrical Engineering Program
Publisher:
Institute of Electrical and Electronics Engineers (IEEE)
Journal:
IEEE Transactions on Signal Processing
Issue Date:
Jul-2012
DOI:
10.1109/TSP.2012.2193396
ARXIV:
arXiv:1101.4335
Type:
Article
ISSN:
1053587X
Sponsors:
The authors would like to acknowledge the support provided by the Deanship of Scientific Research at King Fahd University of Petroleum & Minerals (KFUPM) under Research Grant FT100030.
Additional Links:
http://arxiv.org/abs/arXiv:1101.4335v1
Appears in Collections:
Articles; 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.accessioned2015-08-03T09:57:20Zen
dc.date.available2015-08-03T09:57:20Zen
dc.date.issued2012-07en
dc.identifier.issn1053587Xen
dc.identifier.doi10.1109/TSP.2012.2193396en
dc.identifier.urihttp://hdl.handle.net/10754/562232en
dc.description.abstractThis work establishes the design, analysis, and fine-tuning of a peak-to-average-power-ratio (PAPR) reducing system, based on compressed sensing (CS) at the receiver of a peak-reducing sparse clipper applied to an orthogonal frequency-division multiplexing (OFDM) signal at the transmitter. By exploiting the sparsity of clipping events in the time domain relative to a predefined clipping threshold, the method depends on partially observing the frequency content of the clipping distortion over reserved tones to estimate the remaining distortion. The approach has the advantage of eliminating the computational complexity at the transmitter and reducing the overall complexity of the system compared to previous methods which incorporate pilots to cancel nonlinear distortion. Data-based augmented CS methods are also proposed that draw upon available phase and support information from data tones for enhanced estimation and cancelation of clipping noise. This enables signal recovery under more severe clipping scenarios and hence lower PAPR can be achieved compared to conventional CS techniques. © 2012 IEEE.en
dc.description.sponsorshipThe authors would like to acknowledge the support provided by the Deanship of Scientific Research at King Fahd University of Petroleum & Minerals (KFUPM) under Research Grant FT100030.en
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en
dc.relation.urlhttp://arxiv.org/abs/arXiv:1101.4335v1en
dc.subjectCompressive sensingen
dc.subjectPAPR reductionen
dc.subjectsparse signal estimationen
dc.subjecttone reservation techniquesen
dc.titlePeak reduction and clipping mitigation in OFDM by augmented compressive sensingen
dc.typeArticleen
dc.contributor.departmentElectrical Engineering Programen
dc.identifier.journalIEEE Transactions on Signal Processingen
dc.contributor.institutionElectrical Engineering Department, King Fahd University of Petroleum and Minerals (KFUPM), 31261 Dhahran, Saudi Arabiaen
dc.identifier.arxividarXiv:1101.4335en
kaust.authorAl-Naffouri, Tareq Y.en
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