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Journal of Projectiles, Rockets, Missiles and Guidance >

2011 , Vol. 31 >Issue 2: 189 - 191,198

DOI: https://doi.org/10.15892/j.cnki.djzdxb.2011.02.003

CORRELATION TECHNOLOGY

Federal Extended Kalman Particle Filtering Algorithm

  • NING Xiaolei ,
  • LI Wenbo ,
  • FAN Bin
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  • Huayin Ordnance Test Center, Shaanxi Huayin 714200, China

Received date: 2010-04-29

  Online published: 2025-05-30

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Abstract

A new particle filter (federal extended Kalman particle filter, EKF-FPF) was proposed to estimate the state of non-Gaussian and non-linear system for federal filter, in which extended Kalman particle filer was introduced to federal filter so that the information fusion of subsystem can be solved by the non-Gaussian and non-linear filer. By doing so, the federal filter can get rid of the disadvantage of the ordinary Kalman filter to extend its application field. The simulation results of the standard testing model demonstrate the feasibility of the proposed algorithm.

Key words： information fusion; federal filter; particle filter; non-Gaussian; non-linear

Cite this article

NING Xiaolei , LI Wenbo , FAN Bin . Federal Extended Kalman Particle Filtering Algorithm[J]. Journal of Projectiles, Rockets, Missiles and Guidance, 2011 , 31(2) : 189 -191,198 . DOI: 10.15892/j.cnki.djzdxb.2011.02.003

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