대한전기학회:학술대회논문집 (Proceedings of the KIEE Conference)

대한전기학회 (The Korean Institute of Electrical Engineers)
권호 표지

기동 표적 추적을 위한 유전 알고리즘 기반 상호 작용 다중 모델 기법

GA-Based IMM Method for Tracking a Maneuvering Target

  • 이범직 (연세대학교 전기전자공학과) ;
  • 주영훈 (군산대학교 전자정보공학부) ;
  • 박진배 (연세대학교 전기전자공학과)
  • Lee, Bum-Jik (Dept. of Electrical & Electronic Engineering, Yonsei Univ.) ;
  • Joo, Young-Hoon (School of Electronic and Information Engineering, Kunsan Univ.) ;
  • Park, Jin-Bae (Dept. of Electrical & Electronic Engineering, Yonsei Univ.)
  • 발행 : 2002.07.10
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초록

The accuracy in maneuvering target tracking using multiple models is caused by the suitability of each target motion model to be used. The interacting multiple model (IMM) algorithm and the adaptive IMM (AIMM) algorithm require the predefined sub-models and the predetermined acceleration intervals, respectively, in consideration of the properties of maneuvers in order to construct multiple models. In this paper, to solve these problems intelligently, a genetic algorithm (GA) based-IMM method using fuzzy logic is proposed. In the proposed method, the acceleration input is regarded as an additive noise and a sub-model is represented as a set of fuzzy rules to model the time-varying variances of the process noises of a new piecewise constant white acceleration model. The proposed method is compared with the AIMM algorithm in simulations.

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