DocumentCode
3538263
Title
Improved auxiliary and Unscented Particle Filter variants
Author
Charalampidis, Alexandros C. ; Papavassilopoulos, George P.
Author_Institution
Swiss Fed. Inst. of Tech. in Lausanne (EPFL), Lausanne, Switzerland
fYear
2013
fDate
10-13 Dec. 2013
Firstpage
7040
Lastpage
7046
Abstract
This paper proposes some modifications to the Auxiliary Particle Filter and the Unscented Particle Filter. For the APF, based on some error bound considerations it is suggested that the auxiliary weights are taken into account not proportionally but nonlinearly. An improved way to compensate for the auxiliary weights after the resampling is also proposed. For the UPF, a method is introduced to compute the covariance matrices of the particles not using the UKF equations for each particle separately, but so as to optimize the characteristics of the total distribution. The application of the modified filters to an example shows that the proposed changes lead to performance increase.
Keywords
Kalman filters; covariance matrices; APF; UKF equations; auxiliary particle filter; covariance matrices; unscented particle filter; Approximation methods; Covariance matrices; Equations; Kalman filters; Noise; Particle filters; Probability density function; Auxiliary Particle Filter; Nonlinear filters; Numerical methods; Particle filtering; Resampling; State estimation; Unscented Particle Filter;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control (CDC), 2013 IEEE 52nd Annual Conference on
Conference_Location
Firenze
ISSN
0743-1546
Print_ISBN
978-1-4673-5714-2
Type
conf
DOI
10.1109/CDC.2013.6761005
Filename
6761005
Link To Document