Title :
The higher order unscented filter
Author :
Tenne, Dirk ; Singh, Tarunraj
Author_Institution :
Dept. of Mech. & Aerosp. Eng., State Univ. of New York, Buffalo, NY, USA
Abstract :
This article proposes a technique for the selection of the σ-set for a probability distribution approximation filter, i.e., the unscented filter. The σ-set is selected so as to capture the higher order input statistics. The Taylor series expansion is used to illustrate that the 3rd order and higher statistics of the nonlinear transformation can be reproduced while the unscented filter captures the statistics up to the 3rd order only. Two benchmark problems are used to corroborate the proposed solution.
Keywords :
Gaussian distribution; Kalman filters; approximation theory; nonlinear estimation; probability; Gaussian distribution; Taylor series expansion; nonlinear estimation; nonlinear transformation; probability distribution approximation filter; statistics; unscented filter; Aerospace engineering; Computational efficiency; Indium tin oxide; Jacobian matrices; Nonlinear equations; Particle filters; Probability distribution; State estimation; Statistical distributions; Taylor series;
Conference_Titel :
American Control Conference, 2003. Proceedings of the 2003
Print_ISBN :
0-7803-7896-2
DOI :
10.1109/ACC.2003.1243441