Compressed sensing techniques for receiver based post-compensation of transmitter's nonlinear distortions in OFDM systems

Handle URI:
http://hdl.handle.net/10754/563463
Title:
Compressed sensing techniques for receiver based post-compensation of transmitter's nonlinear distortions in OFDM systems
Authors:
Owodunni, Damilola S.; Ali, Anum Z.; Quadeer, Ahmed Abdul; Al-Safadi, Ebrahim B.; Hammi, Oualid; Al-Naffouri, Tareq Y. ( 0000-0003-2843-5084 )
Abstract:
In this paper, compressed sensing techniques are proposed to linearize commercial power amplifiers driven by orthogonal frequency division multiplexing signals. The nonlinear distortion is considered as a sparse phenomenon in the time-domain, and three compressed sensing based algorithms are presented to estimate and compensate for these distortions at the receiver using a few and, at times, even no frequency-domain free carriers (i.e. pilot carriers). The first technique is a conventional compressed sensing approach, while the second incorporates a priori information about the distortions to enhance the estimation. Finally, the third technique involves an iterative data-aided algorithm that does not require any pilot carriers and hence allows the system to work at maximum bandwidth efficiency. The performances of all the proposed techniques are evaluated on a commercial power amplifier and compared. The error vector magnitude and symbol error rate results show the ability of compressed sensing to compensate for the amplifier's nonlinear distortions. © 2013 Elsevier B.V.
KAUST Department:
Electrical Engineering Program
Publisher:
Elsevier BV
Journal:
Signal Processing
Issue Date:
Apr-2014
DOI:
10.1016/j.sigpro.2013.10.029
Type:
Article
ISSN:
01651684
Sponsors:
This work was supported by King Abdulaziz City for Science and Technology (KACST) through the Science & Technology Unit at King Fahd University of Petroleum & Minerals through Project no. 11-ELE1651-04 as part of the National Science, Technology and Innovation Plan.
Appears in Collections:
Articles; Electrical Engineering Program

Full metadata record

DC FieldValue Language
dc.contributor.authorOwodunni, Damilola S.en
dc.contributor.authorAli, Anum Z.en
dc.contributor.authorQuadeer, Ahmed Abdulen
dc.contributor.authorAl-Safadi, Ebrahim B.en
dc.contributor.authorHammi, Oualiden
dc.contributor.authorAl-Naffouri, Tareq Y.en
dc.date.accessioned2015-08-03T11:52:08Zen
dc.date.available2015-08-03T11:52:08Zen
dc.date.issued2014-04en
dc.identifier.issn01651684en
dc.identifier.doi10.1016/j.sigpro.2013.10.029en
dc.identifier.urihttp://hdl.handle.net/10754/563463en
dc.description.abstractIn this paper, compressed sensing techniques are proposed to linearize commercial power amplifiers driven by orthogonal frequency division multiplexing signals. The nonlinear distortion is considered as a sparse phenomenon in the time-domain, and three compressed sensing based algorithms are presented to estimate and compensate for these distortions at the receiver using a few and, at times, even no frequency-domain free carriers (i.e. pilot carriers). The first technique is a conventional compressed sensing approach, while the second incorporates a priori information about the distortions to enhance the estimation. Finally, the third technique involves an iterative data-aided algorithm that does not require any pilot carriers and hence allows the system to work at maximum bandwidth efficiency. The performances of all the proposed techniques are evaluated on a commercial power amplifier and compared. The error vector magnitude and symbol error rate results show the ability of compressed sensing to compensate for the amplifier's nonlinear distortions. © 2013 Elsevier B.V.en
dc.description.sponsorshipThis work was supported by King Abdulaziz City for Science and Technology (KACST) through the Science & Technology Unit at King Fahd University of Petroleum & Minerals through Project no. 11-ELE1651-04 as part of the National Science, Technology and Innovation Plan.en
dc.publisherElsevier BVen
dc.subjectCompressed sensingen
dc.subjectData-aided estimationen
dc.subjectNonlinear distortionen
dc.subjectOrthogonal frequency division multiplexingen
dc.subjectPower amplifieren
dc.titleCompressed sensing techniques for receiver based post-compensation of transmitter's nonlinear distortions in OFDM systemsen
dc.typeArticleen
dc.contributor.departmentElectrical Engineering Programen
dc.identifier.journalSignal Processingen
dc.contributor.institutionKing Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabiaen
dc.contributor.institutionHong Kong University of Science and Technology, Clear-Water-Bay, Hong Kongen
dc.contributor.institutionUniversity of Southern California, Los Angeles, CA, United Statesen
kaust.authorAl-Naffouri, Tareq Y.en
All Items in KAUST are protected by copyright, with all rights reserved, unless otherwise indicated.