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무향 변환 기반 필터링을 이용한 전술표적 추적 성능 연구
변재욱,정효영,이새움,김기성,김기선,Byun, Jaeuk,Jung, Hyoyoung,Lee, Saewoom,Kim, Gi-Sung,Kim, Kiseon 한국군사과학기술학회 2014 한국군사과학기술학회지 Vol.17 No.1
Tracking the tactical object is a fundamental affair in network-equipped modern warfare. Geodetic coordinate system based on longitude, latitude, and height is suitable to represent the location of tactical objects considering multi platform data fusion. The motion of tactical object described as a dynamic model requires an appropriate filtering to overcome the system and measurement noise in acquiring information from multiple sensors. This paper introduces the filter suitable for multi-sensor data fusion and tactical object tracking, particularly the unscented transform(UT) and its detail. The UT in Unscented Kalman Filter(UKF) uses a few samples to estimate nonlinear-propagated statistic parameters, and UT has better performance and complexity than the conventional linearization method. We show the effects of UT-based filtering via simulation considering practical tactical object tracking scenario.