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

대한전기학회 (The Korean Institute of Electrical Engineers)
권호 표지

해석적 방법에 의한 PDA-AI 성능의 Tight Bound

A Tight Bound for PDA-AI Performance

  • 김국민 (한양대학교 공대 전자전기제어계측공학과) ;
  • 송택렬 (한양대학교 공대 전자컴퓨터공학부) ;
  • 안조영 (한국과학기술원)
  • 발행 : 2003.07.01
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초록

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.

키워드

참고문헌

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