The Transactions of the Korean Institute of Electrical Engineers D (대한전기학회논문지:시스템및제어부문D)

The Korean Institute of Electrical Engineers (대한전기학회)
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A Tight Bound for PDA-AI Performance

해석적 방법에 의한 PDA-AI 성능의 Tight Bound

  • 김국민 (한양대학교 공대 전자전기제어계측공학과) ;
  • 송택렬 (한양대학교 공대 전자컴퓨터공학부) ;
  • 안조영 (한국과학기술원)
  • Published : 2003.07.01
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Abstract

In this paper, We propose a new target tracking filter which utilizes PDA-AI for data association in a clutter environment and also propose an analytic solution for ideal filter covariance which accounts for all the possible events in PDA-AI. Monte Carlo simulation for the proposed filter in a clutter environment indicates that the proposed analytic solution forms a tight lower bound for the error covariance of PDA-AI filter.

Keywords

References

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