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Adaptive Fuzzy IMM Algorithm for Uncertain Target Tracking
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  • Adaptive Fuzzy IMM Algorithm for Uncertain Target Tracking
  • Adaptive Fuzzy IMM Algorithm for Uncertain Target Tracking
저자명
Kim. Hyun-Sik,Park. Joon-Goo,Lee. Dong-Ik
간행물명
International Journal of Control, Automation and Systems
권/호정보
2009년|7권 6호|pp.1001-1008 (8 pages)
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제어로봇시스템학회
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정기간행물|ENG|
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기타
이 논문은 한국과학기술정보연구원과 논문 연계를 통해 무료로 제공되는 원문입니다.
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기타언어초록

In real system application, the interacting multiple model (IMM)-based uncertain target tracking system operates with the following problems: it requires less computing resources as well as a robust performance with respect to the maneuvering such as a sub-model mismatched case, and further, it requires an easy design procedure related to its structures and parameters. To solve these problems, an adaptive fuzzy IMM (AFIMM) algorithm, which is based on well-defined basis sub-models and well-adjusted mode transition probabilities (MTPs), is proposed. The basis sub-models are defined by the detailed analysis in terms of kinematic models as well as the maneuvering property and the MTPs are adjusted by the fuzzy adaptor as well as the fuzzy decision maker. To verify the performance of the proposed algorithm, an airborne target tracking is performed. Simulation results show that the AFIMM effectively solves the problems experienced in the uncertain target tracking system online.