Results 21 to 30 of about 792 (163)
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 time‐varying, 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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International Journal of Aerospace Engineering, 2021 A novel H∞ filter called square-root cubature H∞ Kalman filter is proposed for attitude measurement of high-spinning aircraft. In this method, a combined measurement model of three-axis geomagnetic sensor and gyroscope is used, and the Euler angle ...
Ping-an Zhang +3 more
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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
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Maximum Correntropy Square-Root Cubature Kalman Filter for Non-Gaussian Measurement Noise
IEEE Access, 2020 Cubature Kalman filter (CKF) is widely used for non-linear state estimation under Gaussian noise. However, the estimation performance may degrade greatly in presence of heavy-tailed measurement noise.
Jingjing He +3 more
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Journal of Marine Science and Engineering, 2022 Robust nonlinear filtering is an important method for tracking maneuvering targets in non-Gaussian noise environments. Although there are many robust filters for nonlinear systems, few of them have ideal performance for mixed Gaussian noise and non ...
Tianjing Wang, Lanyong Zhang, Sheng Liu
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A recursive update cubature Kalman filter [PDF]
Proceedings of the 2015 2nd International Workshop on Materials Engineering and Computer Sciences, 2015 This paper investigates the use of recursive update and proposes a recursive update cubature Kalman filter (RUCKF). Merit of recursive update is a better assimilation of measurement information and realization of nonlinear update on the state. The proposed algorithm is shown to achieve superior performance in terms of efficiency and accuracy when ...
Ning Li, Gang Wang, Yonggang Zhang
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Transformed cubature quadrature Kalman filter
IET Signal Processing, 2017 An orthogonal transformation is applied to the cubature quadrature (CQ) points which are used to approximate the intractable integrals appeared during the estimation of states of a non‐linear system. With the help of a theorem, it is shown that the transformed points reduce the higher order moments (HOM) appeared while approximating the mean and ...
Abhinoy Kumar Singh, Shovan Bhaumik
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World Electric Vehicle Journal, 2019 Accurate and reliable estimation information of sideslip angle is very important for intelligent motion control and active safety control of an autonomous vehicle.
Te Chen +5 more
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Adaptive Cubature Kalman Filter Based on the Expectation-Maximization Algorithm
IEEE Access, 2019 A cubature Kalman filter is considered to be one of the most useful methods for nonlinear systems. However, when the statistical characteristics of noise are unknown, the estimation accuracy is degraded. Therefore, an adaptive square-root cubature Kalman
Weidong Zhou, Lu Liu
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