Receiver-based recovery of clipped ofdm signals for papr reduction: A bayesian approach

Handle URI:
http://hdl.handle.net/10754/563267
Title:
Receiver-based recovery of clipped ofdm signals for papr reduction: A bayesian approach
Authors:
Ali, Anum; Al-Rabah, Abdullatif R.; Masood, Mudassir ( 0000-0003-0462-7874 ) ; Al-Naffouri, Tareq Y.
Abstract:
Clipping 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.
KAUST Department:
Electrical Engineering Program
Publisher:
Institute of Electrical and Electronics Engineers (IEEE)
Journal:
IEEE Access
Issue Date:
2014
DOI:
10.1109/ACCESS.2014.2362772
ARXIV:
arXiv:1410.2457
Type:
Article
ISSN:
21693536
Additional Links:
http://arxiv.org/abs/arXiv:1410.2457v3
Appears in Collections:
Articles; Electrical Engineering Program

Full metadata record

DC FieldValue Language
dc.contributor.authorAli, Anumen
dc.contributor.authorAl-Rabah, Abdullatif R.en
dc.contributor.authorMasood, Mudassiren
dc.contributor.authorAl-Naffouri, Tareq Y.en
dc.date.accessioned2015-08-03T11:44:29Zen
dc.date.available2015-08-03T11:44:29Zen
dc.date.issued2014en
dc.identifier.issn21693536en
dc.identifier.doi10.1109/ACCESS.2014.2362772en
dc.identifier.urihttp://hdl.handle.net/10754/563267en
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.en
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en
dc.relation.urlhttp://arxiv.org/abs/arXiv:1410.2457v3en
dc.subjectchannel estimationen
dc.subjectClippingen
dc.subjectmulti-user communicationen
dc.subjectOFDMen
dc.subjectPAPR reductionen
dc.titleReceiver-based recovery of clipped ofdm signals for papr reduction: A bayesian approachen
dc.typeArticleen
dc.contributor.departmentElectrical Engineering Programen
dc.identifier.journalIEEE Accessen
dc.contributor.institutionDepartment of Electrical Engineering, King Fahd University of Petroleum and MineralsDhahran, Saudi Arabiaen
dc.identifier.arxividarXiv:1410.2457en
kaust.authorAli, Anumen
kaust.authorAl-Rabah, Abdullatif R.en
kaust.authorMasood, Mudassiren
kaust.authorAl-Naffouri, Tareq Y.en
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