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Cubature Kalman Filters
Journal article

Cubature Kalman Filters

Abstract

In this paper, we present a new nonlinear filter for high-dimensional state estimation, which we have named the cubature Kalman filter (CKF). The heart of the CKF is a spherical-radial cubature rule, which makes it possible to numerically compute multivariate moment integrals encountered in the nonlinear Bayesian filter. Specifically, we derive a third-degree spherical-radial cubature rule that provides a set of cubature points scaling linearly …

Authors

Arasaratnam I; Haykin S

Journal

IEEE Transactions on Automatic Control, Vol. 54, No. 6, pp. 1254–1269

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

DOI

10.1109/tac.2009.2019800

ISSN

0018-9286