New Negentropy Optimization Schemes for Blind Signal Extraction of Complex Valued Sources

dc.contributor.authorXu, Peng-cheng
dc.contributor.authorShen, Yue-hong
dc.contributor.authorLi, Hui
dc.coverage.issue1cs
dc.coverage.volume24cs
dc.date.accessioned2015-05-21T12:36:01Z
dc.date.available2015-05-21T12:36:01Z
dc.date.issued2015-04cs
dc.description.abstractBlind signal extraction, a hot issue in the field of communication signal processing, aims to retrieve the sources through the optimization of contrast functions. Many contrasts based on higher-order statistics such as kurtosis, usually behave sensitive to outliers. Thus, to achieve robust results, nonlinear functions are utilized as contrasts to approximate the negentropy criterion, which is also a classical metric for non-Gaussianity. However, existing methods generally have a high computational cost, hence leading us to address the problem of efficient optimization of contrast function. More precisely, we design a novel “reference-based” contrast function based on negentropy approximations, and then propose a new family of algorithms (Alg.1 and Alg.2) to maximize it. Simulations confirm the convergence of our method to a separating solution, which is also analyzed in theory. We also validate the theoretic complexity analysis that Alg.2 has a much lower computational cost than Alg.1 and existing optimization methods based on negentropy criterion. Finally, experiments for the separation of single sideband signals illustrate that our method has good prospects in real-world applications.en
dc.formattextcs
dc.format.extent262-271cs
dc.format.mimetypeapplication/pdfen
dc.identifier.citationRadioengineering. 2015 vol. 24, č. 1, s. 262-271. ISSN 1210-2512cs
dc.identifier.doi10.13164/re.2015.0262en
dc.identifier.issn1210-2512
dc.identifier.urihttp://hdl.handle.net/11012/38760
dc.language.isoencs
dc.publisherSpolečnost pro radioelektronické inženýrstvícs
dc.relation.ispartofRadioengineeringcs
dc.relation.urihttp://www.radioeng.cz/fulltexts/2015/15_01_0262_0271.pdfcs
dc.rightsCreative Commons Attribution 3.0 Unported Licenseen
dc.rights.accessopenAccessen
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/en
dc.subjectNegentropy criterionen
dc.subjectblind signal extractionen
dc.subjectquadratic optimizationen
dc.subjectglobal convergenceen
dc.subjectreference system.en
dc.titleNew Negentropy Optimization Schemes for Blind Signal Extraction of Complex Valued Sourcesen
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
eprints.affiliatedInstitution.facultyFakulta eletrotechniky a komunikačních technologiícs
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