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 :
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