Source enumeration in the presence of colored noise

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Show simple item record Eguizabal, Alma Lameiro, Christian Ramírez García, David Schreier, Peter J. 2020-12-02T10:26:16Z 2020-12-02T10:26:16Z 2019-03
dc.identifier.bibliographicCitation IEEE Signal Processing Letters, (2019), 26(3), pp.: 475-479
dc.identifier.issn 1070-9908
dc.description.abstract In array signal processing, the detection of the number of sources is an important step. Most approaches assume the signals to be embedded in white noise. However, this assumption is unrealistic in many scenarios. In this letter, we propose a strategy that can handle colored noise. We model the source detection as a regression problem and apply information-theoretic criteria to determine the model order of the regression. We show simulations of different scenarios, where our approach outperforms traditional techniques.
dc.description.sponsorship This work was supported in part by the German Research Foundation (DFG) under Contract SCHR 1384/3-2, and in part by the Ministerio de Ciencia, Innovación y Universidades, jointly with the European Commission (ERDF), under Grant CAIMAN TEC2017-86921-C2-2-R
dc.format.extent 5
dc.language.iso eng
dc.publisher IEEE
dc.rights © 2019 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission. See standards/publications/rights/index.html for more information.
dc.subject.other Almost cyclostationarity
dc.subject.other Cycle period estimation
dc.subject.other Detection
dc.subject.other Multiple hypothesis test
dc.subject.other Sample rate conversion
dc.title Source enumeration in the presence of colored noise
dc.type article
dc.description.status Publicado
dc.subject.eciencia Telecomunicaciones
dc.rights.accessRights openAccess
dc.relation.projectID Gobierno de España. TEC2017-86921-C2-2-R/CAIMAN
dc.type.version acceptedVersion
dc.identifier.publicationfirstpage 475
dc.identifier.publicationissue 3
dc.identifier.publicationlastpage 479
dc.identifier.publicationtitle IEEE Signal Processing Letters
dc.identifier.publicationvolume 6
dc.identifier.uxxi AR/0000025040
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