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dc.contributor.author양해원-
dc.date.accessioned2021-06-30T05:05:02Z-
dc.date.available2021-06-30T05:05:02Z-
dc.date.issued2000-10-
dc.identifier.citation제어로봇시스템학회 국내학술대회 논문집, v. 1, page. 1229-1232en_US
dc.identifier.urihttps://www.dbpia.co.kr/journal/articleDetail?nodeId=NODE02050683-
dc.identifier.urihttps://repository.hanyang.ac.kr/handle/20.500.11754/162573-
dc.description.abstractGenerally, discrete-time processing is applied to the uniformly-sampled signals. But, radars emit pulse trains with irregular time instances. In this paper, we formulate the radar pulse train as a stochastic discrete-time dynamic linear model. The estimation task can be done via linear signal processing using Kalman Filter and some considerations. As a result, we can estimate the pulse repetition interval of a pulse train and predict the time instances of the next pulses to be received.en_US
dc.language.isoko_KRen_US
dc.publisher제어로봇시스템학회en_US
dc.subjectradaren_US
dc.subjectpulse trainen_US
dc.subjectKalman Filteren_US
dc.subjecttrackingen_US
dc.subjectPRIen_US
dc.subjectTOAen_US
dc.title칼만 필터를 사용한 레이더 펄스열 추적en_US
dc.title.alternativeTracking of Radar Pulse Train using Kalman Filteren_US
dc.typeArticleen_US
dc.relation.journal제어·자동화·시스템공학논문지-
dc.contributor.googleauthor김용우-
dc.contributor.googleauthor신욱현-
dc.contributor.googleauthor이효섭-
dc.contributor.googleauthor김홍필-
dc.contributor.googleauthor양해원-
dc.relation.code2012101127-
dc.sector.campusE-
dc.sector.daehakCOLLEGE OF ENGINEERING SCIENCES[E]-
dc.sector.departmentDIVISION OF ELECTRICAL ENGINEERING-
dc.identifier.pidhwyang-
Appears in Collections:
COLLEGE OF ENGINEERING SCIENCES[E](공학대학) > ELECTRICAL ENGINEERING(전자공학부) > Articles
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