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

Institute of Control, Robotics and Systems (제어로봇시스템학회)
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A Study of Observability Analysis and Data Fusion for Bias Estimation in a Multi-Radar System

다중 레이더 환경에서의 바이어스 오차 추정의 가관측성에 대한 연구와 정보 융합

  • 원건희 (한양대학교 전기전자제어계측공학과) ;
  • 송택렬 (한양대학교 전기전자제어계측공학과) ;
  • 김다솔 (한양대학교 전기전자제어계측공학과) ;
  • 서일환 (국방과학연구소 종합시험단) ;
  • 황규환 (국방과학연구소 종합시험단)
  • Received : 2010.03.16
  • Accepted : 2011.05.25
  • Published : 2011.08.01
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Abstract

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.

Keywords

Acknowledgement

Supported by : 국방과학연구소

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