Journal of the Korea Institute of Military Science and Technology (한국군사과학기술학회지)

The Korea Institute of Military Science and Technology (한국군사과학기술학회)
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Study on Tactical Target Tracking Performance Using Unscented Transform-based Filtering

무향 변환 기반 필터링을 이용한 전술표적 추적 성능 연구

  • Byun, Jaeuk (School of Information and Communications, Gwangju Institute of Science and Technology) ;
  • Jung, Hyoyoung (School of Information and Communications, Gwangju Institute of Science and Technology) ;
  • Lee, Saewoom (School of Information and Communications, Gwangju Institute of Science and Technology) ;
  • Kim, Gi-Sung (Naval combat systems PEO, Agency for Defense Development) ;
  • Kim, Kiseon (School of Information and Communications, Gwangju Institute of Science and Technology)
  • 변재욱 (광주과학기술원 정보통신공학부) ;
  • 정효영 (광주과학기술원 정보통신공학부) ;
  • 이새움 (광주과학기술원 정보통신공학부) ;
  • 김기성 (국방과학연구소 함정전투체계개발단) ;
  • 김기선 (광주과학기술원 정보통신공학부)
  • Received : 2013.10.15
  • Accepted : 2013.12.20
  • Published : 2014.02.05
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Abstract

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.

Keywords

References

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