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dc.contributor.authorAli, Anum
dc.contributor.authorAl-Rabah, Abdullatif R.
dc.contributor.authorMasood, Mudassir
dc.contributor.authorAl-Naffouri, Tareq Y.
dc.date.accessioned2015-08-03T11:44:29Z
dc.date.available2015-08-03T11:44:29Z
dc.date.issued2014
dc.identifier.issn21693536
dc.identifier.doi10.1109/ACCESS.2014.2362772
dc.identifier.urihttp://hdl.handle.net/10754/563267
dc.description.abstractClipping is one of the simplest peak-to-average power ratio reduction schemes for orthogonal frequency division multiplexing (OFDM). Deliberately clipping the transmission signal degrades system performance, and clipping mitigation is required at the receiver for information restoration. In this paper, we acknowledge the sparse nature of the clipping signal and propose a low-complexity Bayesian clipping estimation scheme. The proposed scheme utilizes a priori information about the sparsity rate and noise variance for enhanced recovery. At the same time, the proposed scheme is robust against inaccurate estimates of the clipping signal statistics. The undistorted phase property of the clipped signal, as well as the clipping likelihood, is utilized for enhanced reconstruction. Furthermore, motivated by the nature of modern OFDM-based communication systems, we extend our clipping reconstruction approach to multiple antenna receivers and multi-user OFDM.We also address the problem of channel estimation from pilots contaminated by the clipping distortion. Numerical findings are presented that depict favorable results for the proposed scheme compared to the established sparse reconstruction schemes.
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.relation.urlhttp://arxiv.org/abs/arXiv:1410.2457v3
dc.subjectchannel estimation
dc.subjectClipping
dc.subjectmulti-user communication
dc.subjectOFDM
dc.subjectPAPR reduction
dc.titleReceiver-based recovery of clipped ofdm signals for papr reduction: A bayesian approach
dc.typeArticle
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.contributor.departmentElectrical Engineering Program
dc.identifier.journalIEEE Access
dc.contributor.institutionDepartment of Electrical Engineering, King Fahd University of Petroleum and MineralsDhahran, Saudi Arabia
dc.identifier.arxividarXiv:1410.2457
kaust.personAli, Anum
kaust.personAl-Rabah, Abdullatif R.
kaust.personMasood, Mudassir
kaust.personAl-Naffouri, Tareq Y.
dc.date.posted2014-10-08


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