Kalman filter aided target density function for radar imaging

Ridvan Firat Cinar; Fatih Kocadag; Demirkol, Aşkın

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dc.contributor.authors	Cinar, RF; Kocadag, F; Demirkol, A;
dc.date.accessioned	2020-02-27T07:01:14Z
dc.date.available	2020-02-27T07:01:14Z
dc.date.issued	2019
dc.identifier.citation	Cinar, RF; Kocadag, F; Demirkol, A; (2019). Kalman filter aided target density function for radar imaging. JOURNAL OF ENGINEERING-JOE, 2019, 5604-5602
dc.identifier.uri	https://doi.org/10.1049/joe.2019.0415
dc.identifier.uri	https://hdl.handle.net/20.500.12619/64910
dc.description.abstract	This study proposes a new algorithm for air target radar imaging by taking the geometrical and processing advantages of array antenna systems. The backscattered signal is processed with a new technique to benefit the facilities of angular scanning. In order to virtually increase the number of the radar elements of the array system, a powerful optimal estimator is employed, namely Kalman filter.
dc.language	English
dc.publisher	INST ENGINEERING TECHNOLOGY-IET
dc.rights	info:eu-repo/semantics/openAccess
dc.rights.uri	http://creativecommons.org/licenses/by/4.0/
dc.subject	Engineering
dc.title	Kalman filter aided target density function for radar imaging
dc.type	Article
dc.identifier.volume	2019
dc.identifier.startpage	5602
dc.identifier.endpage	5604
dc.contributor.department	Sakarya Üniversitesi/Mühendislik Fakültesi/Elektrik-Elektronik Mühendisliği Bölümü
dc.contributor.saüauthor	Demirkol, Aşkın
dc.relation.journal	JOURNAL OF ENGINEERING-JOE
dc.identifier.wos	WOS:000491472000030
dc.identifier.doi	10.1049/joe.2019.0415
dc.identifier.eissn	2051-3305
dc.contributor.author	Ridvan Firat Cinar
dc.contributor.author	Fatih Kocadag
dc.contributor.author	Demirkol, Aşkın