• Electro-Optic Technology Application
  • Vol. 24, Issue 1, 66 (2009)
LI Chun-xin, WANG Xiao-tong, and XU Xiao-gang
Author Affiliations
  • [in Chinese]
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    DOI: Cite this Article
    LI Chun-xin, WANG Xiao-tong, XU Xiao-gang. Application of Improved Particle Filter Algorithm in Target State Estimation[J]. Electro-Optic Technology Application, 2009, 24(1): 66 Copy Citation Text show less

    Abstract

    Aiming at the choice of proposal function and degeneracy problem in particle filter (PF), an improved algorithm is put forward. Unscented Kalman Filter (UKF) is used to produce the proposal function, the estimate accuracy can be improved, Markov Chain Monte Carlo (MCMC) is applied to keep the diversity of the particles and solve the degeneracy problem. The simulation result illustrates the algorithm is superior to PF, UPF, PF-MCMC (PF with MCMC) and PF- EKF-MCMC (PF with EKF and MCMC) in accuracy.
    LI Chun-xin, WANG Xiao-tong, XU Xiao-gang. Application of Improved Particle Filter Algorithm in Target State Estimation[J]. Electro-Optic Technology Application, 2009, 24(1): 66
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