Authors: Hyun Duck Choi Jung Min Pak Myo Taeg Lim Moon Kyou Song
Publish Date: 2015/05/23
Volume: 13, Issue: 4, Pages: 1032-1036
Abstract
This paper proposes a new resampling algorithm a Gaussian distributed resampling GDR algorithm in order to solve the sample impoverishment problem in particle filters The key concept of the proposed algorithm is to generate new particles on the basis of a Gaussian distribution which depends on the size of the weights in the resampling process In comparison with established resampling algorithms particle diversity can be maintained and thus the proposed algorithm avoids sample impoverishment The proposed GDR algorithm guarantees a reliable estimation even if the number of samples is sharply reduced Thus the computational burden of particle filters can be reduced efficiently with the proposed GDR algorithm
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