Results 1 to 10 of about 13,253 (243)
IEEE Transactions on Automatic Control, 2009 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-
I Arasaratnam, Simon Haykin
exaly +3 more sources
Constrained Cubature Particle Filter for Vehicle Navigation. [PDF]
Sensors (Basel)In vehicle navigation, it is quite common that the dynamic system is subject to various constraints, which increases the difficulty in nonlinear filtering.
Xue L, Zhong Y, Han Y.
europepmc +4 more sources
An Improved Cubature Kalman Filter for GNSS-Denied and System-Noise-Varying INS/GNSS Navigation. [PDF]
Micromachines (Basel)The degradation of nonlinear filtering in INS/GNSS integrated navigation due to missing GNSS observations and system noise uncertainty is addressed in this paper. An improved cubature Kalman filter (ICKF) is proposed, leveraging a modified cubature point
Liu D, Chen X, Cui B.
europepmc +2 more sources
UWB Localization Based on Improved Robust Adaptive Cubature Kalman Filter. [PDF]
Sensors (Basel), 2023 Aiming at the problems of Non-Line-of-Sight (NLOS) observation errors and inaccurate kinematic model in ultra-wideband (UWB) systems, this paper proposed an improved robust adaptive cubature Kalman filter (IRACKF).
Dong J, Lian Z, Xu J, Yue Z.
europepmc +2 more sources
A Novel Adaptive Robust Cubature Kalman Filter for Maneuvering Target Tracking with Model Uncertainty and Abnormal Measurement Noises. [PDF]
Sensors (Basel), 2023 The features of measurement and process noise are directly related to the optimal performance of the cubature Kalman filter. The maneuvering target model’s high level of uncertainty and non-Gaussian mean noise are typical issues that the radar tracking ...
Ye X, Wang J, Wu D, Zhang Y, Li B.
europepmc +2 more sources
Robust Cubature Kalman Filter for Moving-Target Tracking with Missing Measurements. [PDF]
Sensors (Basel)Handling the challenge of missing measurements in nonlinear systems is a difficult problem in various scientific and engineering fields. Missing measurements, which can arise from technical faults during observation, diffusion channel shrinking, or the ...
Sahl S, Song E, Niu D.
europepmc +2 more sources
Applied Sciences, 2023 For nonlinear systems, both the cubature Kalman filter (CKF) and square-root cubature Kalman filter (SCKF) can get good estimation performance under Gaussian noise. However, the actual driving environment noise mostly has non-Gaussian properties, leading
Pingshu Ge +4 more
semanticscholar +3 more sources
Maximum correentropy-based robust Square-root Cubature Kalman Filter for vehicular cooperative navigation. [PDF]
Sci Rep, 2023 As the core method of cooperative navigation, relative positioning plays a key role in realizing intelligent vehicle driving and vehicle self-assembling network collaboration algorithms.
Sun W, Zhang X, Ding W, Zhang H, Liu A.
europepmc +2 more sources
Empirically corrected cluster cubature (E3C)
Computer Methods in Applied Mechanics and EngineeringzbMATH Open Web Interface contents unavailable due to conflicting licenses.
Stephan Wulfinghoff
openaire +3 more sources
A Numerical Method for Computing Double Integrals with Variable Upper Limits
Mathematics, 2021 We propose and justify a numerical method for computing the double integral with variable upper limits that leads to the variableness of the region of integration.
Olha Chernukha +3 more
doaj +1 more source