A compressed sensing based method with support refinement for impulse noise cancelation in DSL

Handle URI:
http://hdl.handle.net/10754/564737
Title:
A compressed sensing based method with support refinement for impulse noise cancelation in DSL
Authors:
Quadeer, Ahmed Abdul; Sohail, Muhammad Sadiq; Al-Naffouri, Tareq Y.
Abstract:
This paper presents a compressed sensing based method to suppress impulse noise in digital subscriber line (DSL). The proposed algorithm exploits the sparse nature of the impulse noise and utilizes the carriers, already available in all practical DSL systems, for its estimation and cancelation. Specifically, compressed sensing is used for a coarse estimate of the impulse position, an a priori information based maximum aposteriori probability (MAP) metric for its refinement, followed by least squares (LS) or minimum mean square error (MMSE) estimation for estimating the impulse amplitudes. Simulation results show that the proposed scheme achieves higher rate as compared to other known sparse estimation algorithms in literature. The paper also demonstrates the superior performance of the proposed scheme compared to the ITU-T G992.3 standard that utilizes RS-coding for impulse noise refinement in DSL signals. © 2013 IEEE.
KAUST Department:
Electrical Engineering Program
Publisher:
Institute of Electrical and Electronics Engineers (IEEE)
Journal:
2013 IEEE 14th Workshop on Signal Processing Advances in Wireless Communications (SPAWC)
Conference/Event name:
2013 IEEE 14th Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2013
Issue Date:
Jun-2013
DOI:
10.1109/SPAWC.2013.6612051
Type:
Conference Paper
ISBN:
9781467355773
Appears in Collections:
Conference Papers; Electrical Engineering Program

Full metadata record

DC FieldValue Language
dc.contributor.authorQuadeer, Ahmed Abdulen
dc.contributor.authorSohail, Muhammad Sadiqen
dc.contributor.authorAl-Naffouri, Tareq Y.en
dc.date.accessioned2015-08-04T07:14:16Zen
dc.date.available2015-08-04T07:14:16Zen
dc.date.issued2013-06en
dc.identifier.isbn9781467355773en
dc.identifier.doi10.1109/SPAWC.2013.6612051en
dc.identifier.urihttp://hdl.handle.net/10754/564737en
dc.description.abstractThis paper presents a compressed sensing based method to suppress impulse noise in digital subscriber line (DSL). The proposed algorithm exploits the sparse nature of the impulse noise and utilizes the carriers, already available in all practical DSL systems, for its estimation and cancelation. Specifically, compressed sensing is used for a coarse estimate of the impulse position, an a priori information based maximum aposteriori probability (MAP) metric for its refinement, followed by least squares (LS) or minimum mean square error (MMSE) estimation for estimating the impulse amplitudes. Simulation results show that the proposed scheme achieves higher rate as compared to other known sparse estimation algorithms in literature. The paper also demonstrates the superior performance of the proposed scheme compared to the ITU-T G992.3 standard that utilizes RS-coding for impulse noise refinement in DSL signals. © 2013 IEEE.en
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en
dc.subjectcompressed sensingen
dc.subjectDSLen
dc.subjectestimationen
dc.subjectImpulse noiseen
dc.subjectsparse signal reconstructionen
dc.titleA compressed sensing based method with support refinement for impulse noise cancelation in DSLen
dc.typeConference Paperen
dc.contributor.departmentElectrical Engineering Programen
dc.identifier.journal2013 IEEE 14th Workshop on Signal Processing Advances in Wireless Communications (SPAWC)en
dc.conference.date16 June 2013 through 19 June 2013en
dc.conference.name2013 IEEE 14th Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2013en
dc.conference.locationDarmstadten
dc.contributor.institutionHong Kong University of Science and Technology, Hong Kong, Hong Kongen
dc.contributor.institutionKing Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabiaen
kaust.authorAl-Naffouri, Tareq Y.en
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