Results 11 to 20 of about 2,929 (197)
Attitude and Heading Estimation for Indoor Positioning Based on the Adaptive Cubature Kalman Filter [PDF]
Micromachines, 2021 The demands for indoor positioning in location-based services (LBS) and applications grow rapidly. It is beneficial for indoor positioning to combine attitude and heading information.
Jijun Geng, Linyuan Xia, Dongjin Wu
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An Improved Interacting Multiple Model Filtering Algorithm Based on the Cubature Kalman Filter for Maneuvering Target Tracking [PDF]
Sensors, 2016 In order to improve the tracking accuracy, model estimation accuracy and quick response of multiple model maneuvering target tracking, the interacting multiple models five degree cubature Kalman filter (IMM5CKF) is proposed in this paper. In the proposed
Wei Zhu, Wei Wang, Gannan Yuan
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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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Adaptive augmented cubature Kalman filter/smoother for ECG denoising. [PDF]
Biomed Eng LettModel-based Bayesian approaches have been widely applied in Electrocardiogram (ECG) signal processing, where their performances heavily rely on the accurate selection of model parameters, particularly the state and measurement noise covariance matrices.
Hesar HD, Hesar AD.
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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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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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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, S. Haykin
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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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IET Radar, Sonar & Navigation, 2023 The existing adaptive Kalman filters for tracking manoeuvring targets by wireless sensor networks can easily lose robustness when both the measurement and process noises are unknown and timeâvarying, resulting in large positioning errors.
Xuming Fang, Dandan Huang
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Electric Vehicle State Parameter Estimation Based on DICI-GFCKF
IEEE Access, 2022 To improve the estimation accuracy of the state parameters of distributed electric vehicles, a double inverse covariance intersection generalized fifth-order cubature Kalman filter (DICI-GFCKF) es-timation algorithm is proposed.
Zhang Rongyun +5 more
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