FMCW 레이더 와 칼만필터를 사용한 선박 추적 방법 응용
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Title
- FMCW 레이더 와 칼만필터를 사용한 선박 추적 방법 응용
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Alternative Title
- Application of Kalman Filter for Ship Tracking Using FMCW Radar
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Author(s)
- 안형욱; 양찬수
- KIOST Author(s)
- Yang, Chan Su(양찬수)
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Alternative Author(s)
- 안형욱; 양찬수
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Publication Year
- 2012-05-11
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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.
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URI
- https://sciwatch.kiost.ac.kr/handle/2020.kiost/27814
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Bibliographic Citation
- 2012 (사)한국지리정보학회 춘계학술대회, pp.56 - 57, 2012
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Publisher
- (사)한국지리정보학회
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Type
- Conference
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Language
- English
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