한국지능시스템학회:학술대회논문집 (Proceedings of the Korean Institute of Intelligent Systems Conference)

한국지능시스템학회 (Korean Institute of Intelligent Systems)
권호 표지

기동 표적 추적을 위한 GA 기반 IMM 방법

GA-Based IMM Method Using Fuzzy Logic for Tracking a Maneuvering Target

  • Lee, Bum-Jik (Dept. of Electrical and Electronic Eng., Yonsei Univ. Seoul) ;
  • Joo, Young-Hoon (School of Electrical and Information Eng., Kunsan National Univ. Kunsan. Chonbuk Korea) ;
  • Park, Jin-Bae (Dept. of Electrical and Electronic Eng., Yonsei Univ. Seoul)
  • 발행 : 2002.05.01
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

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 algorithm require the predefined sub-models and the predetermined acceleration intervals, respectively, in consideration of the properties of maneuvers 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, 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, and the GA is applied to identify this fuzzy model. The proposed method is compared with the AIMM algorithm in simulations.

키워드