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
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;
Conference_Titel :
Decision and Control (CDC), 2013 IEEE 52nd Annual Conference on
Conference_Location :
Firenze
Print_ISBN :
978-1-4673-5714-2
DOI :
10.1109/CDC.2013.6761005