DocumentCode
1795245
Title
On a new higher degree Cubature Kalman filter
Author
Xiangyuan Huang ; Xiaqing Tang ; Meng Wu
Author_Institution
Dept. of Control Eng., Acad. of Armored Force Eng., Beijing, China
fYear
2014
fDate
8-10 Aug. 2014
Firstpage
2076
Lastpage
2081
Abstract
A new nonlinear Guassian filter named new 5th-degree cubature Kalman filter is proposed based on the conventional 3rd-degree CKF, for a higher filter accuracy, stronger numeric stability, acceptable computation complexity. The heart of new CKF is 5th-degree spherical and radial rule that a new sampling approach for points and corresponding weights. The 5th-degree CKF may provide a suboptimal solution for high-dimensional nonlinear system with higher accuracy than 3rd-degree and lower calculation than 5th-degree Gauss-Hermite quadrature filter. There is a comparison of filter accuracy and numeric stability in nonlinear initial alignment of SINS between 3rd, 5th and new CKFs. The results demonstrate that the new CKF has higher estamination accuracy and stronger stability with important application value.
Keywords
Gaussian processes; Kalman filters; computational complexity; nonlinear filters; nonlinear systems; numerical stability; 3rd-degree CKF; 5th-degree Gauss-Hermite quadrature filter; 5th-degree cubature Kalman filter; SINS; computation complexity; estamination accuracy; filter accuracy; high-dimensional nonlinear system; nonlinear Guassian filter; nonlinear initial alignment; numeric stability; radial rule; spherical rule; suboptimal solution; Accuracy; Approximation methods; Estimation; Filtering algorithms; Kalman filters; Polynomials; Vectors;
fLanguage
English
Publisher
ieee
Conference_Titel
Guidance, Navigation and Control Conference (CGNCC), 2014 IEEE Chinese
Conference_Location
Yantai
Print_ISBN
978-1-4799-4700-3
Type
conf
DOI
10.1109/CGNCC.2014.7007497
Filename
7007497
Link To Document