The application of fusion of multiple aspect scattered data to PMUSIC-vector based electromagnetic target identification

dc.contributor.author	Secmen, M.
dc.date.accessioned	2021-01-25T20:51:13Z
dc.date.available	2021-01-25T20:51:13Z
dc.date.issued	2011
dc.identifier	10.1109/APS.2011.5997095
dc.identifier.issn	15223965
dc.identifier.uri	https://www.scopus.com/inward/record.uri?eid=2-s2.0-80054979010&doi=10.1109%2fAPS.2011.5997095&partnerID=40&md5=2b7b94be0a8cb9021b1faca98c14cbfc
dc.identifier.uri	https://dspace.yasar.edu.tr/xmlui/handle/20.500.12742/10605
dc.description.abstract	This paper presents an electromagnetic target identification method in the resonance scattering region, which uses pseudospectrum multiple signal classification (PMUSIC) vectors as feature vectors. These feature vectors are obtained with the fusion of mul
dc.language.iso	English
dc.publisher	IEEE Antennas and Propagation Society, AP-S International Symposium (Digest)
dc.title	The application of fusion of multiple aspect scattered data to PMUSIC-vector based electromagnetic target identification
dc.type	Conference Paper
dc.relation.firstpage	2750
dc.relation.lastpage	2753
dc.description.affiliations	Electrical and Electronics Engineering Department, Yasar University, Izmir, Turkey

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