NDLI: Maritime target detection, estimation and classification in Bistatic ultra wideband forward scattering radar

Content Provider	IEEE Xplore Digital Library
Author	Kabakchiev, H. Kabakchieva, D. Cherniakov, M. Gashinova, M. Behar, V. Garvanov, I.
Copyright Year	2011
Description	Author affiliation: University of Library Studies and Information Technologies, BG, Bulgaria (Garvanov, I.) \|\| EECE, University of Birmingham, UK (Cherniakov, M.; Gashinova, M.) \|\| Institute of Information and Communication Technologies, BG, Bulgaria (Behar, V.) \|\| FMI, Sofia University St. Kliment Ohridski, BG, Bulgaria (Kabakchiev, H.) \|\| CIST, Sofia University St. Kliment Ohridski, BG, Bulgaria (Kabakchieva, D.)
Abstract	Data mining algorithms are applied on the small volumes of available data from recorded signals of UWB Bistatic maritime FSR system for more precise target classification. The rough estimation (pre-classification) of the length, reflected energy of the target is received from signal records with an original structure of a CFAR processor, for target detection and estimation in the time domains. The scientific results presented in the paper are achieved based on processing real data collected with an FSR maritime system by the researchers from Birmingham University.
Starting Page	79
Ending Page	84
File Size	241029
Page Count	6
File Format	PDF
ISBN	9781457701382
e-ISBN	9783927535282
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-09-07
Publisher Place	Germany
Access Restriction	Subscribed
Rights Holder	DGON
Subject Keyword	Boats Estimation Radar Data models Classification algorithms Data mining Decision trees
Content Type	Text
Resource Type	Article

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