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