Proceedings of the KIEE Conference (대한전기학회:학술대회논문집)

The Korean Institute of Electrical Engineers (대한전기학회)
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Hybrid Filter Design for a Nonlinear System with Glint Noise

글린트잡음을 갖는 비선형 시스템에 대한 하이브리드 필터 설계

  • Kwak, Ki-Seok (Dept. of Electrical & Electronic Engineering, Yonsei Univ.) ;
  • Yoon, Tae-Sung (Dept. of Electrical Engineering, Changwon National Univ.) ;
  • Park, Ji-Bae (Dept. of Electrical & Electronic Engineering, Yonsei Univ.) ;
  • Shin, Jong-Gun (Dept. of Electrical & Electronic Engineering, Yonsei Univ.)
  • 곽기석 (연세대학교 전기전자공학과) ;
  • 윤태성 (창원대학교 전기공학과) ;
  • 박진배 (연세대학교 전기전자공학과) ;
  • 신종구 (연세대학교 전기전자공학과)
  • Published : 2001.11.24
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Abstract

In a target tracking problem the radar glint noise has non-Gaussian heavy-tailed distribution and will seriously affect the target tracking performance. In most nonlinear situations an Extended Robust Kalman Filter(ERKF) can yield acceptable performance as long as the noises are white Gaussian. However, an Extended Robust $H_{\infty}$ Filter (ERHF) can yield acceptable performance when the noises are Laplacian. In this paper, we use the Interacting Multiple Model(IMM) estimator for the problem of target tracking with glint noise. In the IMM method, two filters(ERKF and ERHF) are used in parallel to estimate the state. Computer simulations of a real target tracking shows that hybrid filter used the IMM algorithm has superior performance than a single type filter.

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