제어로봇시스템학회논문지 (Journal of Institute of Control, Robotics and Systems)

  • 제17권8호
  • /
  • Pages.783-789
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  • 2011
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  • 1976-5622(pISSN)
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  • 2233-4335(eISSN)
제어로봇시스템학회 (Institute of Control, Robotics and Systems)
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다중 레이더 환경에서의 바이어스 오차 추정의 가관측성에 대한 연구와 정보 융합

A Study of Observability Analysis and Data Fusion for Bias Estimation in a Multi-Radar System

  • 원건희 (한양대학교 전기전자제어계측공학과) ;
  • 송택렬 (한양대학교 전기전자제어계측공학과) ;
  • 김다솔 (한양대학교 전기전자제어계측공학과) ;
  • 서일환 (국방과학연구소 종합시험단) ;
  • 황규환 (국방과학연구소 종합시험단)
  • 투고 : 2010.03.16
  • 심사 : 2011.05.25
  • 발행 : 2011.08.01
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초록

Target tracking performance improvement using multi-sensor data fusion is a challenging work. However, biases in the measurements should be removed before various data fusion techniques are applied. In this paper, a bias removing algorithm using measurement data from multi-radar tracking systems is proposed and evaluated by computer simulation. To predict bias estimation performance in various geometric relations between the radar systems and target, a system observability index is proposed and tested via computer simulation results. It is also studied that target tracking which utilizes multi-sensor data fusion with bias-removed measurements results in better performance.

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과제정보

연구 과제 주관 기관 : 국방과학연구소

참고문헌

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