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dc.contributor.authorAl-Safadi, Ebrahim B.
dc.contributor.authorAl-Naffouri, Tareq Y.
dc.date.accessioned2015-08-03T09:57:20Z
dc.date.available2015-08-03T09:57:20Z
dc.date.issued2012-07
dc.identifier.citationAl-Safadi, E. B., & Al-Naffouri, T. Y. (2012). Peak Reduction and Clipping Mitigation in OFDM by Augmented Compressive Sensing. IEEE Transactions on Signal Processing, 60(7), 3834–3839. doi:10.1109/tsp.2012.2193396
dc.identifier.issn1053-587X
dc.identifier.issn1941-0476
dc.identifier.doi10.1109/TSP.2012.2193396
dc.identifier.urihttp://hdl.handle.net/10754/562232
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.
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.
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.relation.urlhttp://ieeexplore.ieee.org/document/6178281/
dc.relation.urlhttp://arxiv.org/pdf/1101.4335
dc.rights(c) 2012 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.
dc.rightsThis file is an open access version redistributed from: http://arxiv.org/pdf/1101.4335
dc.subjectCompressive sensing
dc.subjectPAPR reduction
dc.subjectsparse signal estimation
dc.subjecttone reservation techniques
dc.titlePeak reduction and clipping mitigation in OFDM by augmented compressive sensing
dc.typeArticle
dc.contributor.departmentElectrical Engineering Program
dc.identifier.journalIEEE Transactions on Signal Processing
dc.identifier.wosutWOS:000305578800040
dc.eprint.versionPre-print
dc.contributor.institutionElectrical Engineering Department, King Fahd University of Petroleum and Minerals (KFUPM), 31261 Dhahran, Saudi Arabia
dc.identifier.volume60
dc.identifier.issue7
dc.identifier.pages3834-3839
dc.identifier.arxivid1101.4335
kaust.personAl-Naffouri, Tareq Y.
dc.versionv1
dc.identifier.eid2-s2.0-84862589904
refterms.dateFOA2021-04-27T11:31:08Z
dc.date.posted2011-01-22


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