Results 141 to 150 of about 2,929 (197)

A Novel Variational Bayesian Method with Unknown Noise for Underwater INS/DVL/USBL Localization. [PDF]

Sensors (Basel)
Huang H, Dong C, Zhang Y, Zhang S.
europepmc   +1 more source

A Review of Nonlinear Filtering Algorithms in Integrated Navigation Systems. [PDF]

Sensors (Basel)
Si J, Niu Y, Wang B.
europepmc   +1 more source

An advanced error state Kalman filter (ESKF)-based terrain contour matching (TERCOM) method for tracking an aerial vehicle using a low-cost digital elevation map. [PDF]

PeerJ Comput Sci
Kadri MB, Yousuf S.
europepmc   +1 more source

Improved noise reduction for nonlinear PMDC motor dead zone and friction model using variants of extended Kalman filter with practical validation. [PDF]

PLoS One
Haider S, Ali S, Saqlain M, Rasool A, Sherefa A.   +4 more
europepmc   +1 more source

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The Cubature Kalman Filter revisited

Automatica, 2021
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Santos-León, Juan-Carlos, Orive, Ramón, Acosta, Daniel, Acosta, Leopoldo   +3 more
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A Seventh‐Degree Cubature Kalman Filter

Asian Journal of Control, 2017
AbstractThe fifth‐degree cubature Kalman filter (CKF) has been proved to be a kind of algorithm that has higher precision than the third‐degree CKF and unscented Kalman filter (UKF). In order to further improve the performance of CKF, the seventh‐degree CKF is proposed in this paper by expanding the spherical‐radial rule, and a new kind of ...
Meng, Dong, Miao, Lingjuan, Shao, Haijun, Shen, Jun   +3 more
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High-degree cubature Kalman filter

Automatica, 2013
The cubature Kalman filter (CKF), which is based on the third degree spherical-radial cubature rule, is numerically more stable than the unscented Kalman filter (UKF) but less accurate than the Gauss-Hermite quadrature filter (GHQF). To improve the performance of the CKF, a new class of CKFs with arbitrary degrees of accuracy in computing the spherical
Bin Jia, Ming Xin, Yang Cheng
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Continuous discrete cubature quadrature Kalman filter

Asian Journal of Control, 2021
AbstractIn this paper, cubature quadrature Kalman filter algorithm has been reformulated for nonlinear state space model of continuous‐discrete nature. The developed method is named as continuous‐discrete cubature quadrature Kalman filter (CD‐CQKF). The formulated algorithm has been applied to track the trajectory of an aircraft.
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Double-layer Cubature Kalman Filter

2018 International Conference on Control, Automation and Information Sciences (ICCAIS), 2018
The cubature Kalman filter (CKF) algorithm is not suitable for non-Gaussian environments. The cubature particle filter (CPF) algorithm can solve the problem of the CKF algorithm, but it will introduce the problem of a large computational complexity. To solve the above problems, a Double-Layer Cubature Kalman Filter (DLCKF) algorithm is proposed.
Feng Yang, Yujuan Luo, Litao Zheng, Shaodong Chen, Jie Zou   +4 more
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