비선형 시스템의 상태 추정을 위한 입자 필터

  • 한수희 (서울대학교 전기.컴퓨터공학부) ;
  • 이호상 (서울대학교 전기.컴퓨터공학부)
  • Published : 2007.03.31

Abstract

Keywords

References

  1. S. Julier,J. Uhlmann, and H. F. Durrant-Whyte, ''A new method for the nonlinear transformation of means and covariances in filters and estimators,' IEEE Trans. Automatic Control, Vol. 45, No.3, March 2000
  2. N. Gordon, D. Salmond, and A. F. M. Smith, 'New approach to nonlinear and non-Gaussian Bayesian state estimation,' Proc. Inst. Elect. Eng. F, Vol. 140, 1993
  3. M. S. Arulampalam, S. Maskell, N. Gordon, and T. Clapp, 'A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking,' IEEE Trans. Signal Processing, Vol. 50, No. 2, Feb., 2002
  4. H. W. Sorenson, Kalman Filtering: Theory and Application, IEEE Press, New York, 1985
  5. A. Doucet, On sequential Monte Carlo methods for Bayesian filtering, Dept. Eng., Univ, Cambridge, UK, Tech. Rep., 1998
  6. J. S. Liu and R. Chen, 'Sequential Monte Carlo methods for dynamical systems,' J. Amer. Statist. Assoc., 1998