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dc.contributor.authorZhang, Jun
dc.contributor.authorJin, Tian
dc.contributor.authorHe, Yuan
dc.contributor.authorZhou, Zhimin
dc.date.accessioned2016-04-20T06:25:35Z
dc.date.available2016-04-20T06:25:35Z
dc.date.issued2016-04cs
dc.identifier.citationRadioengineering. 2016 vol. 25, č. 1, s. 98-105. ISSN 1210-2512cs
dc.identifier.issn1210-2512
dc.identifier.urihttp://hdl.handle.net/11012/57915
dc.description.abstractA complete centralized processing framework is proposed for human tracking using multistatic radar in the foliage-penetration environment. The configuration of the multistatic radar system is described. Primary attention is devoted to time of arrival (TOA) estimation and target localization. An improved approach that takes the geometrical center as the TOA estimation of the human target is given. The minimum mean square error paring (MMSEP) approach is introduced for multi-target localization in the multistatic radar system. An improved MMSEP algorithm is proposed using the maximum velocity limitation and the global nearest neighbor criterion, efficiently decreasing the computational cost of MMSEP. The experimental results verify the effectiveness of the centralized processing framework.en
dc.formattextcs
dc.format.extent98-105cs
dc.format.mimetypeapplication/pdfen
dc.language.isoencs
dc.publisherSpolečnost pro radioelektronické inženýrstvícs
dc.relation.ispartofRadioengineeringcs
dc.relation.urihttp://www.radioeng.cz/fulltexts/2016/16_01_0106_0113.pdfcs
dc.rightsCreative Commons Attribution 3.0 Unported Licenseen
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/en
dc.subjectMultistatic radaren
dc.subjectfoliage penetrationen
dc.subjecthuman trackingen
dc.subjectTOA estimationen
dc.subjecttarget localizationen
dc.titleA Centralized Processing Framework for Foliage Penetration Human Tracking in Multistatic Radaren
eprints.affiliatedInstitution.facultyFakulta eletrotechniky a komunikačních technologiícs
dc.coverage.issue1cs
dc.coverage.volume25cs
dc.identifier.doi10.13164/re.2016.0098en
dc.rights.accessopenAccessen
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen


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Except where otherwise noted, this item's license is described as Creative Commons Attribution 3.0 Unported License