DocumentCode :
669444
Title :
Gaussian distribution resampling algorithm of particle filter
Author :
Hyun-Duck Choi ; Choon-Ki Ahn ; Myo-Taeg Lim
Author_Institution :
Sch. of Electr. Eng., Korea Univ., Seoul, South Korea
fYear :
2013
fDate :
20-23 Oct. 2013
Firstpage :
738
Lastpage :
740
Abstract :
This paper proposes a new resampling algorithm - Gaussian distributed resampling (GDR) algorithm - in order to solve particle impoverishment phenomenon in particle filter. The key idea of proposed algorithm generates the new particles based on Gaussian distribution, which depend on the size of weight in resampling process. In comparison with established resampling algorithms, diversity of particles can be maintained, and thus the proposed algorithm avoids the sample impoverishment.
Keywords :
Gaussian distribution; particle filtering (numerical methods); sampling methods; Gaussian distributed resampling algorithm; particle filter; particle impoverishment phenomenon; Gaussian distribution; ISO standards; Mobile robots; Particle filter; State estimation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control, Automation and Systems (ICCAS), 2013 13th International Conference on
Conference_Location :
Gwangju
ISSN :
2093-7121
Print_ISBN :
978-89-93215-05-2
Type :
conf
DOI :
10.1109/ICCAS.2013.6704010
Filename :
6704010
Link To Document :
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