Improved Particle Filter for Integrated Navigation System
2014 ◽
Vol 543-547
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pp. 1278-1281
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Keyword(s):
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.
2011 ◽
Vol 130-134
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pp. 3311-3315
Keyword(s):
2013 ◽
Vol 347-350
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pp. 1544-1548
2013 ◽
Vol 756-759
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pp. 2142-2146
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Keyword(s):
Keyword(s):