DocumentCode :
2182954
Title :
Particle flow for nonlinear filters
Author :
Daum, Fred ; Huang, Jim
fYear :
2011
fDate :
22-27 May 2011
Firstpage :
5920
Lastpage :
5923
Abstract :
We have solved the well known and important problem of particle degeneracy for particle filters. Our filter is roughly seven orders of magnitude faster than standard particle filters for the same estimation accuracy. The new filter is four orders of magnitude faster per particle, and it requires roughly three orders of magnitude fewer particles to achieve the same accuracy as a standard particle filter. Typically we beat the EKF or UKF accuracy by approximately two orders of magnitude for difficult nonlinear problems.
Keywords :
nonlinear filters; particle filtering (numerical methods); EKF; UKF; nonlinear filter; particle flow; standard particle filter; Accuracy; Approximation methods; Computational complexity; Equations; Filtering theory; Nonlinear filters; Particle filters; estimation; extended Kalman filter; nonlinear filter; particle filter;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2011 IEEE International Conference on
Conference_Location :
Prague
ISSN :
1520-6149
Print_ISBN :
978-1-4577-0538-0
Electronic_ISBN :
1520-6149
Type :
conf
DOI :
10.1109/ICASSP.2011.5947709
Filename :
5947709
Link To Document :
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