FMCW 레이더 와 칼만필터를 사용한 선박 추적 방법 응용

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dc.contributor.author 안형욱 -
dc.contributor.author 양찬수 -
dc.date.accessioned 2020-07-16T12:52:08Z -
dc.date.available 2020-07-16T12:52:08Z -
dc.date.created 2020-02-11 -
dc.date.issued 2012-05-11 -
dc.identifier.uri https://sciwatch.kiost.ac.kr/handle/2020.kiost/27814 -
dc.description.abstract FMCW Radar has been used by small size ships because the radar can deal with sending and receiving data and because it spends much lower electric power than existing pulse radars. On the other hand, many studies about FMCW Radar have just investigated in narrow fields such as a car and distance measurement. Therefore, the FMCW Radar still has not researched for ocean and vessels. Kalman Filter is a recursive filter that has a function to trace a target in the linear coordinates including noise signals. This is applied to various fields such as computer vision, robot engineering, radar system, and especially, tracking algorithms for vehicles, moving objects, and persons. However, Kalman Filter is an algorithm not to find a position of a current object from every situation but to track the accurate position with input data. This paper has a couple of steps for tracking targets.st investigated in narrow fields such as a car and distance measurement. Therefore, the FMCW Radar still has not researched for ocean and vessels. Kalman Filter is a recursive filter that has a function to trace a target in the linear coordinates including noise signals. This is applied to various fields such as computer vision, robot engineering, radar system, and especially, tracking algorithms for vehicles, moving objects, and persons. However, Kalman Filter is an algorithm not to find a position of a current object from every situation but to track the accurate position with input data. This paper has a couple of steps for tracking targets. -
dc.description.uri 2 -
dc.language English -
dc.publisher (사)한국지리정보학회 -
dc.relation.isPartOf 2012 (사)한국지리정보학회 춘계학술대회 -
dc.title FMCW 레이더 와 칼만필터를 사용한 선박 추적 방법 응용 -
dc.title.alternative Application of Kalman Filter for Ship Tracking Using FMCW Radar -
dc.type Conference -
dc.citation.conferencePlace KO -
dc.citation.endPage 57 -
dc.citation.startPage 56 -
dc.citation.title 2012 (사)한국지리정보학회 춘계학술대회 -
dc.contributor.alternativeName 안형욱 -
dc.contributor.alternativeName 양찬수 -
dc.identifier.bibliographicCitation 2012 (사)한국지리정보학회 춘계학술대회, pp.56 - 57 -
dc.description.journalClass 2 -
Appears in Collections:
Sea Power Enhancement Research Division > Marine Domain & Security Research Department > 2. Conference Papers
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