Detection of sparse targets with structurally perturbed echo dictionaries

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dc.authoridARIKAN, ORHAN/0000-0002-3698-8888
dc.contributor.authorGuldogan, Mehmet Burak
dc.contributor.authorArikan, Orhan
dc.date.accessioned2025-10-24T18:08:59Z
dc.date.available2025-10-24T18:08:59Z
dc.date.issued2013
dc.departmentMalatya Turgut Özal Üniversitesi
dc.description.abstractIn this paper, a novel algorithm is proposed to achieve robust high resolution detection in sparse multipath channels. Currently used sparse reconstruction techniques are not immediately applicable in multipath channel modeling. Performance of standard compressed sensing formulations based on discretization of the multipath channel parameter space degrade significantly when the actual channel parameters deviate from the assumed discrete set of values. To alleviate this off-grid problem, we make use of the particle swarm optimization (PSO) to perturb each grid point that reside in each multipath component cluster. Orthogonal matching pursuit (OMP) is used to reconstruct sparse multipath components in a greedy fashion. Extensive simulation results quantify the performance gain and robustness obtained by the proposed algorithm against the off-grid problem faced in sparse multipath channels. (C) 2013 Elsevier Inc. All rights reserved.
dc.identifier.doi10.1016/j.dsp.2013.03.003
dc.identifier.endpage1644
dc.identifier.issn1051-2004
dc.identifier.issn1095-4333
dc.identifier.issue5
dc.identifier.scopus2-s2.0-84882454823
dc.identifier.scopusqualityQ1
dc.identifier.startpage1630
dc.identifier.urihttps://doi.org/10.1016/j.dsp.2013.03.003
dc.identifier.urihttps://hdl.handle.net/20.500.12899/3408
dc.identifier.volume23
dc.identifier.wosWOS:000323855500026
dc.identifier.wosqualityQ2
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherAcademic Press Inc Elsevier Science
dc.relation.ispartofDigital Signal Processing
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_20251023
dc.subjectCompressed sensing (CS); Orthogonal matching pursuit (OMP); Cross-ambiguity function (CAF); Particle swarm optimization (PSO); Channel identification; Sparse approximation
dc.titleDetection of sparse targets with structurally perturbed echo dictionaries
dc.typeArticle

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