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Acta Armamentarii ›› 2013, Vol. 34 ›› Issue (1): 72-75.doi: 10.3969/j.issn.1000-1093.2013.01.013

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Information Fusion Algorithm for Integrated Navigation System with Suppressing Interference of Particle Filters Fading Factors

  

  1. 1School of Mechatronics Engineering, Beijing Institute of Technology, Beijing 100081, China; 2Harbin Jiancheng Group Co Ltd, Harbin 150030, Heilongjiang, China; 3Institute of Macro Demonstration, Equipment Academy of Air Force, Beijing 100076, China; 4Military Representative Office in 624 Factory, Harbin 150030, Heilongjiang, China
  • Online:2013-07-22

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Abstract:

To revise the interference statistics of an integrated navigation system, a particle filtering algorithm was adopted to discriminate the systematic error of the statistics. And the modified particle filtering algorithm changes the weights of particles to suppress the interference when a single channel subjects to interference and tends to divergence. The simulation results show that the modified particle filtering algorithm is able to keep the system even for the divergence of a superior function by reducing the error efficiently and increasing the accuracy.

Key words: ordnance science and technology, Bayes theory, particle filter, weight value, likelihood function