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dc.contributor.authorAl-Rabah, Abdullatif R.
dc.contributor.authorMasood, Mudassir
dc.contributor.authorAli, Anum
dc.contributor.authorAl-Naffouri, Tareq Y.
dc.date.accessioned2019-01-15T07:24:51Z
dc.date.available2019-01-15T07:24:51Z
dc.date.issued2013-09
dc.identifier.urihttp://hdl.handle.net/10754/630845
dc.description.abstractOne of the main drawbacks of OFDM systems is the high peak-to-average-power ratio (PAPR). Most of the PAPR reduction techniques require transmitter-based processing. However, we propose a receiver-based low-complexity clipping signal recovery method. This method is able to i) reduce PAPR via a simple clipping scheme, ii) use a Bayesian recovery algorithm to reconstruct the distortion signal with high accuracy, and iii) is energy efficient due to low complexity. The proposed method is robust against variation in noise and signal statistics. The method is enhanced by making use of all prior information such as, the locations and the phase of the non-zero elements of the clipping signal. Simulation results demonstrate the superiority of using the proposed algorithm over other recovery algorithms.
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.relation.urlhttps://ieeexplore.ieee.org/document/6811776
dc.titleReceiver-based Bayesian PAPR reduction in OFDM
dc.typeConference Paper
dc.contributor.departmentElectrical Engineering Program
dc.identifier.journal21st European Signal Processing Conference (EUSIPCO 2013)
dc.conference.date9-13 Sept. 2013
dc.conference.name21st European Signal Processing Conference (EUSIPCO 2013)
dc.conference.locationMarrakech, Morocco
dc.eprint.versionPost-print
refterms.dateFOA2019-01-15T07:24:51Z


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