Particle Swarm Optimized Particle Filter Based on Metropolis-Hastings Mutation

@inproceedings{Bangning2013ParticleSO,
  title={Particle Swarm Optimized Particle Filter Based on Metropolis-Hastings Mutation},
  author={Zhang Bangning},
  year={2013}
}
A particle swarm optimized resampling method for particle filter based on Metropolis-Hastings(MH)mutation was proposed for improving estimation performance and particle impoverishment problem in the particle filter.The new algorithm chooses the MH moving as a mutation operator of particle swarm optimized,combines the mutation operator with velocity-position searching progress,and generates the particles so that their stationary distribution is a target posterior density.The new algorithm solves… CONTINUE READING

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