Results 21 to 30 of about 2,942 (188)
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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Mixed‐Degree Spherical Simplex‐Radial Cubature Kalman Filter [PDF]
Mathematical Problems in Engineering, 2017 Conventional low degree spherical simplex‐radial cubature Kalman filters often generate low filtering accuracy or even diverge for handling highly nonlinear systems. The high‐degree Kalman filters can improve filtering accuracy at the cost of increasing computational complexity; nevertheless their stability will be influenced by the negative weights ...
Shiyuan Wang +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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Quadrature filters for one-step randomly delayed measurements [PDF]
, 2016 In this paper, two existing quadrature filters, viz., the Gauss–Hermite filter (GHF) and the sparse-grid Gauss–Hermite filter (SGHF) are extended to solve nonlinear filtering problems with one step randomly delayed measurements. The developed filters are
Abhinoy Kumar Singh +35 more
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Cubature quadrature Kalman filter
IET Signal Processing, 2013 In this correspondence, the authors develop a novel method based on spherical radial cubature and Gauss–Laguerre quadrature rule for non‐linear state estimation problems. The proposed filter, referred as cubature quadrature Kalman filter (CQKF) would be able to overcome inherent disadvantages associated with the earlier reported cubature Kalman filter (
Shovan Bhaumik, null Swati
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Moment Estimation Using a Marginalized Transform [PDF]
, 2012 We present a method for estimating mean and covariance of a transformed Gaussian random variable. The method is based on evaluations of the transforming function and resembles the unscented transform and Gauss-Hermite integration in that respect.
Sandblom, Fredrik, Svensson, Lennart
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Interpolatory cubature Kalman filters
IET Control Theory & Applications, 2015 In this study, a novel class of interpolatory cubature Kalman filters (ICKFs) with arbitrary degrees of accuracy, including the third‐degree ICKF and the fifth‐degree ICKF, are proposed based on the interpolatory cubature rule. Existing cubature Kalman filter and unscented Kalman filter can both be deemed as special cases of the proposed ICKFs ...
Yonggang Zhang +3 more
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