Design of Incoming Ballistic Missile Tracking Systems Using Extended Robust Kalman Fister

접근 탄도 미사일 추적 시스템에 사용하는 확장강인칼만필터 설계

  • Shin, Jong-Gu (Dept. of Electrical & Electronic Engineering, Yonsei Univ.) ;
  • Lee, Hyun-Seok (Dept. of Electrical & Electronic Engineering, Yonsei Univ.) ;
  • Jin, Seung-Hee (Dept. of Electrical & Electronic Engineering, Yonsei Univ.) ;
  • Yoon, Tae-Sung (Dept. of Electrical Engineering, Changwon National Univ.) ;
  • Park, Jin-Bae (Dept. of Electrical & Electronic Engineering, Yonsei Univ.)
  • 신종구 (연세대학교 전기 및 전자공학과) ;
  • 이현석 (연세대학교 전기 및 전자공학과) ;
  • 진승희 (연세대학교 전기 및 전자공학과) ;
  • 윤태성 (창원대학교 전기공학과) ;
  • 박진배 (연세대학교 전기 및 전자공학과)
  • Published : 2000.11.25

Abstract

The most important problem in traget tracking can be said to be modeling the tracking system correctly. Although the simple linear dynamic equation for this model has used until now, the satisfactory performance could not be obtained owing to uncertainties of the real systems in the case of designing the filters based on the dynamic equations. In this paper, we propose the extended robust Kalman filter(ERKF) which can be applied to the real target tracking system with the parameter uncertainties. To solve the robust nonlinear fettering problem, we derive the extended robust Kalman filter equation using the Krein space approach and sum quadratic constraint. We show the proposed filter has better performance than the existing extended Kalman filter(EKF) via 3-dimensional target example.

Keywords