지능형 입력추정에 기반한 상호작용 다중모델 기법을 이용한 기동표적 추적

Maneuvering Target Tracking Using the IMM method Based on Intelligent Input Estimation

  • 이범직 (연세대학교 전기전자공학과) ;
  • 주영훈 (군산대학교 전자정보공학부) ;
  • 박진배 (연세대학교 전기전자공학과)
  • Lee, Bum-Jik (Department of Electrical & Electronic Engineering, Yonsei University) ;
  • Joo, Young-Hoon (School of Electronic and Information Engineering, Kunsan University) ;
  • Park, Jin-Bae (Department of Electrical & Electronic Engineering, Yonsei University)
  • 발행 : 2003.07.21

초록

A new interacting multiple model (IMM) method based on intelligent input estimation (IIE) is proposed for tracking a maneuvering target. In the proposed method, the acceleration level of each sub-filter is determined by IIE using the fuzzy system, which is optimized by the genetic algorithm (GA). The tracking performance of the proposed method is compared with those of the input estimation (IE) technique and the adaptive interacting multiple model (AIMM) method in computer simulations.

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