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