DocumentCode
2170782
Title
A mode preserving particle filter
Author
Morelande, Mark R. ; Zhang, Alan M.
Author_Institution
Melbourne Systems Laboratory, Dept. of Electrical and Electronic Engineering, The University of Melbourne, Australia
fYear
2011
fDate
22-27 May 2011
Firstpage
3984
Lastpage
3987
Abstract
A new particle filtering technique is proposed which addresses the problem of mode preservation in the approximation of multi-modal posteriors. The key is a resampling step which attempts to distribute samples evenly over the state space. This idea is shown to produce enormous benefits compared to the optimal importance density in a test problem requiring the retention of several modes for an extended period.
Keywords
Approximation methods; Bayesian methods; Indexes; Monte Carlo methods; Robot kinematics; Robot sensing systems; Bayesian estimation; Particle filtering;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech and Signal Processing (ICASSP), 2011 IEEE International Conference on
Conference_Location
Prague, Czech Republic
ISSN
1520-6149
Print_ISBN
978-1-4577-0538-0
Electronic_ISBN
1520-6149
Type
conf
DOI
10.1109/ICASSP.2011.5947225
Filename
5947225
Link To Document