Kalman/Particle Filter for Integrated Navigation System

Zhun Jiao; Rong  Zhang

doi:10.4028/www.scientific.net/AMR.756-759.2142

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 756-759Kalman/Particle Filter for Integrated Navigation...

Kalman/Particle Filter for Integrated Navigation System

Abstract:

Particle filter is introduced. Since the particle filter would bring hard computation, a new Kalman/Particle mixed filter used on SINS/GPS integrated navigation system was proposed. The new method divides the system into two sub-models, one is linear, the other one is nonlinear, and then implement Kalman filter and particle filter separately. The simulation results show that their performance is almost equal, but the computation complexity of the Kalman/particle filter is much lower than traditional particle filter.

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Periodical:

Advanced Materials Research (Volumes 756-759)

Pages:

2142-2146

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.756-759.2142

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Online since:

September 2013

Authors:

Zhun Jiao, Rong Zhang

Keywords:

Integrated Navigation System, Kalman/Particle Filter, Particle Filter (PF)

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References

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