Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/7269
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dc.contributor.authorÖzcan, Mustafa Buğra-
dc.contributor.authorGürbüz, Sevgi Zübeyde-
dc.contributor.authorPersico, Adriano Rosario-
dc.contributor.authorClemente, Carmine-
dc.contributor.authorSoraghan, John-
dc.date.accessioned2021-09-11T15:56:11Z-
dc.date.available2021-09-11T15:56:11Z-
dc.date.issued2016en_US
dc.identifier.citation13th European Radar Conference (EuRAD) -- OCT 05-07, 2016 -- London, ENGLANDen_US
dc.identifier.isbn978-2-8748-7045-3-
dc.identifier.urihttps://hdl.handle.net/20.500.11851/7269-
dc.description.abstractOver the past few years, the use of Multiple Input Multiple Output (MIMO) radar has gained increased attention as a way to mitigate the degredation of micro-Doppler classification performance incurred when the aspect angle approaches 90 degrees. In this work, the efficacy of co-located MIMO radar is compared with that of distributed MIMO. The performance anaylsis is accomplished for three different classification problems: 1) discrimination of a walking group of people from a running group of people; 2) identification of individual human activities, and 3) classification of different types of walking. In the co-located configuration each radar is placed side by side so as to form a line. In the distributed configuration, the radar positions are separated to observe the subjects from different angles. Starting from the cadence velocity diagram (CVD), the Pseudo-Zernike moments based features are extracted because of their robustness with respect to unwanted scalar and angular dependencies. Two different approaches to integrate the features obtained from multi-aspect data are compared: concatenation and principal component analysis (PCA). Results show that a distributed MIMO configuration and use of PCA to fuse multi-perspective features yields higher classification performance as compared to a co-located configuration or feature vector concatenation.en_US
dc.description.sponsorshipIEEE APS, IEEE AESS, European Microwave Assoc, IEEE MTT S, Horizon Houseen_US
dc.description.sponsorshipEngineering and Physical Sciences Research Council (EPSRC)UK Research & Innovation (UKRI)Engineering & Physical Sciences Research Council (EPSRC) [EP/K014307/1]; MOD University Defence Research Collaboration in Signal Processing, TUBITAK [113E105]; EU FP7European Commission [PIRG-GA-2010-268276]en_US
dc.description.sponsorshipThis work was supported by the Engineering and Physical Sciences Research Council (EPSRC) Grant number EP/K014307/1, the MOD University Defence Research Collaboration in Signal Processing, TUBITAK Project No. 113E105, and EU FP7 Proj. No. PIRG-GA-2010-268276.en_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.relation.ispartof2016 13Th European Radar Conference (Eurad)en_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subject[No Keywords]en_US
dc.titlePerformance Analysis of Co-Located and Distributed Mimo Radar for Micro-Doppler Classificationen_US
dc.typeConference Objecten_US
dc.relation.ispartofseriesEuropean Radar Conference EuRADen_US
dc.departmentFaculties, Faculty of Engineering, Department of Electrical and Electronics Engineeringen_US
dc.departmentFakülteler, Mühendislik Fakültesi, Elektrik ve Elektronik Mühendisliği Bölümütr_TR
dc.identifier.startpage85en_US
dc.identifier.endpage88en_US
dc.authorid0000-0002-1761-598X-
dc.identifier.wosWOS:000400068400021en_US
dc.identifier.scopus2-s2.0-85013080837en_US
dc.institutionauthorGürbüz, Sevgi Zübeyde-
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.relation.conference13th European Radar Conference (EuRAD)en_US
item.openairetypeConference Object-
item.languageiso639-1en-
item.grantfulltextnone-
item.fulltextNo Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
Appears in Collections:Elektrik ve Elektronik Mühendisliği Bölümü / Department of Electrical & Electronics Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection
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