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dc.contributor.author송택렬-
dc.date.accessioned2019-10-25T07:42:29Z-
dc.date.available2019-10-25T07:42:29Z-
dc.date.issued2005-10-
dc.identifier.citationSIGNAL PROCESSING, v. 85, No. 10, Page. 2044-2053en_US
dc.identifier.issn0165-1684-
dc.identifier.urihttps://www.sciencedirect.com/science/article/pii/S016516840500126X-
dc.identifier.urihttps://repository.hanyang.ac.kr/handle/20.500.11754/111594-
dc.description.abstractA new probabilistic nearest neighbor (NN) filter algorithm which accounts for the probability that the NN measurement is a false one is proposed to improve the performance of the NN filter. The NN filter is the most popular and widely used algorithm for target tracking in clutter due to its computational simplicity. The proposed algorithm is derived from establishing probability density functions conditioned on all the possible events related to the NN measurement. The resulting algorithm is different from the existing probabilistic nearest neighbor filter (PNNF) algorithm. The performance of the proposed algorithm is analyzed and compared with that of the NNF. The proposed algorithm for aerial target tracking in a clutter environment is tested by a series of Monte Carlo simulation runs. Simulation results are also compared with the off-line performance prediction algorithm developed in this paper. (c) 2005 Elsevier B.V. All rights reserved.en_US
dc.language.isoen_USen_US
dc.publisherELSEVIER SCIENCE BVen_US
dc.subjecttarget trackingen_US
dc.subjectdata associationen_US
dc.subjectPNNFen_US
dc.subjectclutteren_US
dc.titleA probabilistic nearest neighbor filter algorithm for tracking in a clutter environmenten_US
dc.typeArticleen_US
dc.identifier.doi10.1016/j.sigpro.2005.01.016-
dc.relation.journalSIGNAL PROCESSING-
dc.contributor.googleauthorSong, Taek Lyul-
dc.contributor.googleauthorLee, Dong Gwan-
dc.contributor.googleauthorRyu, Jonha-
dc.relation.code2007208682-
dc.sector.campusE-
dc.sector.daehakCOLLEGE OF ENGINEERING SCIENCES[E]-
dc.sector.departmentDIVISION OF ELECTRICAL ENGINEERING-
dc.identifier.pidtsong-
Appears in Collections:
COLLEGE OF ENGINEERING SCIENCES[E](공학대학) > ELECTRICAL ENGINEERING(전자공학부) > Articles
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