Particle filter based on improved genetic algorithm resampling

@article{Wang2016ParticleFB,
  title={Particle filter based on improved genetic algorithm resampling},
  author={Weibo Wang and Qingke Tan and Junyi Chen and Zhang Ren},
  journal={2016 IEEE Chinese Guidance, Navigation and Control Conference (CGNCC)},
  year={2016},
  pages={346-350}
}
For solving the problem of sample impoverishment in particle filter resampling, this paper proposes a particle filter based on improved genetic algorithm resampling combined with characteristics of selection operator, crossover operator and mutation operator in the genetic algorithm. In the improved genetic algorithm, we choose the importance weight of particles as the fitness value, select particles by utilizing simple resampling and elitist selection, and conduct crossover and mutation… CONTINUE READING

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A particle filter resampling method based on improved genetic algorithm

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