Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/24307
Title: Spherical simplex-radial cubature Kalman filter
Authors: Wang, S
Feng, J
Tse, CK 
Keywords: Bayesian filter
cubature kalman filter
numerical integration
simplex
spherical-radial
Issue Date: 2014
Publisher: Institute of Electrical and Electronics Engineers
Source: IEEE Signal processing letters, 2014, v. 21, no. 1, 6661346, p. 43-46 How to cite?
Journal: IEEE signal processing letters 
Abstract: In this letter, a new class of cubature Kalman filters (CKF) based on a spherical simplex-radial rule is proposed to further improve accuracy and efficiency of the traditional CKF. The transformation group of the regular simplex and the moment matching method are utilized to compute the spherical and radial integrals, respectively. In addition, with the increase of the state dimension, the new CKF of the fifth degree uses fewer quadrature points than the traditional CKF with the same degree. Simulations on moments calculation and nonlinear state estimation show that the proposed CKFs can achieve higher accuracy and better efficiency than the traditional CKFs.
URI: http://hdl.handle.net/10397/24307
ISSN: 1070-9908
EISSN: 1558-2361
DOI: 10.1109/LSP.2013.2290381
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