Improved Particle Filter for Integrated Navigation System

Zhun Jiao; Rong  Zhang

doi:10.4028/www.scientific.net/AMM.543-547.1278

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 543-547Improved Particle Filter for Integrated Navigation...

Improved Particle Filter for Integrated Navigation System

Abstract:

As a new method for dealing with any nonlinear or non-Gaussian distributions, based on the Monte Carlo methods and Bayesian filtering, particle filters (PF) are favored by researchers and widely applied in many fields. Based on particle filtering, an improved particle filter (IPF) proposal distribution is presented. Evaluation of the weights is simplified and other improved techniques including the residual resampling step and Markov Chain Monte Carlo method are introduced for SINS/GPS integrated navigation system. The simulation results confirm that the improved particle filter outperforms the others.

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Periodical:

Applied Mechanics and Materials (Volumes 543-547)

Pages:

1278-1281

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.543-547.1278

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Online since:

March 2014

Authors:

Zhun Jiao*, Rong Zhang

Keywords:

Improved Particle Filter (IPF), Integrated Navigation System, Particle Filter (PF)

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