For solving the problem of sample impoverishment in particlefilterresampling,this paper proposes a particle filter based on improved genetic algorithm resampling combined with characteristics of selection operator,c...
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ISBN:
(纸本)9781467383196
For solving the problem of sample impoverishment in particlefilterresampling,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 *** the improvedgeneticalgorithm,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 operation according to the changeable crossover probability and changeable mutation probability based on the degree of particle *** results demonstrate that the particlefilteralgorithmbased on the improvedgeneticalgorithmresampling could guarantee the validity of the particles and increase the diversity of the *** algorithm could improve the performance of the particlefilter.
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