Proceedings of the KIEE Conference (대한전기학회:학술대회논문집)

The Korean Institute of Electrical Engineers (대한전기학회)
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GA-Based IMM Method for Tracking a Maneuvering Target

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

  • 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.)
  • 이범직 (연세대학교 전기전자공학과) ;
  • 주영훈 (군산대학교 전자정보공학부) ;
  • 박진배 (연세대학교 전기전자공학과)
  • Published : 2002.07.10
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Abstract

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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