Breeding Estimated Particle Filter

Yu Bao Hou; Shu Yan Tang

doi:10.4028/www.scientific.net/AMR.740.332

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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 740Breeding Estimated Particle Filter

Breeding Estimated Particle Filter

Abstract:

As the normal particle filter has an expensive computation and degeneracy problem, a propagation-prediction particle filter is proposed. In this scheme, particles after transfer are propagated under the distribution of state noise, and then the produced filial particles are used to predict the corresponding parent particle referring to measurement, in which step the newest measure information is added into estimation. Therefore predicted particle would be closer to the true state, which improves the precision of particle filter. Experiment results have proved the efficiency of the algorithm and the great predominance in little particles case.

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Periodical:

Advanced Materials Research (Volume 740)

Pages:

332-337

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.740.332

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Online since:

August 2013

Authors:

Yu Bao Hou, Shu Yan Tang

Keywords:

Importance Density Function, Particle Degeneracy, Particle Filter (PF), State Estimation

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