An Improved Strong Tracking Cubature Kalman Filter for GPS/INS Integrated Navigation Systems [PDF]
Sensors, 2018 The cubature Kalman filter (CKF) is widely used in the application of GPS/INS integrated navigation systems. However, its performance may decline in accuracy and even diverge in the presence of process uncertainties. To solve the problem, a new algorithm
Kaiqiang Feng +7 more
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Interacting Multiple Model (IMM) Fifth-Degree Spherical Simplex-Radial Cubature Kalman Filter for Maneuvering Target Tracking [PDF]
Sensors, 2017 For improving the tracking accuracy and model switching speed of maneuvering target tracking in nonlinear systems, a new algorithm named the interacting multiple model fifth-degree spherical simplex-radial cubature Kalman filter (IMM5thSSRCKF) is ...
Hua Liu, Wen Wu
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Strong Tracking Spherical Simplex-Radial Cubature Kalman Filter for Maneuvering Target Tracking [PDF]
Sensors, 2017 Conventional spherical simplex-radial cubature Kalman filter (SSRCKF) for maneuvering target tracking may decline in accuracy and even diverge when a target makes abrupt state changes.
Hua Liu, Wen Wu
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State of Charge Estimation of Lithium-Ion Batteries Using an Adaptive Cubature Kalman Filter
Energies, 2015 Accurate state of charge (SOC) estimation is of great significance for a lithium-ion battery to ensure its safe operation and to prevent it from over-charging or over-discharging.
Bizhong Xia +5 more
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Feedback Robust Cubature Kalman Filter for Target Tracking Using an Angle Sensor [PDF]
Sensors, 2016 The direction of arrival (DOA) tracking problem based on an angle sensor is an important topic in many fields. In this paper, a nonlinear filter named the feedback M-estimation based robust cubature Kalman filter (FMR-CKF) is proposed to deal with ...
Hao Wu +3 more
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Robust Cubature Kalman Filter for Moving-Target Tracking with Missing Measurements [PDF]
SensorsDunbiao Niu, Enbin Song, Samer Sahl
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TWO-STAGE CUBATURE KALMAN FILTERAND ITS APPLICATION IN WATER POLLUTION MODEL [PDF]
Acta Scientifica Malaysia, 2018 Water Pollution Model is a nonlinear system which present the random bias. The most common method is to use augmented state Cubature Kalman Filter, but the computational requirement of augmented state Kalman filter may become excessive.
Zhang, Xu, Wang
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An Improved SINS Alignment Method Based on Adaptive Cubature Kalman Filter [PDF]
Sensors, 2019 Geng Xu, Yonggang Zhang
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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-
Ienkaran Arasaratnam, Simon Haykin 0001
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SN Applied Sciences, 2022 In this paper, a risk sensitive estimator based on cubature quadrature Kalman filter is formulated and applied for tracking a ballistic object during its re-entry phase.
Swati
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