Results 31 to 40 of about 404 (153)
Applied Sciences, 2022 Accurate state-of-charge (SOC) estimation of lithium batteries is of great significance for electric vehicles. In this paper, a combined estimation method of multi-innovation unscented Kalman filter (MIUKF) and fractional order square root cubature ...
Likun Xing +4 more
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Novel Multi-Target Tracking Method: PMBM Filter Combined SVD-SCKF with GP-Driven Measurements [PDF]
SensorsOwing to multi-target tracking in scenarios with nonlinearity, uncertain measurement model and high clutter density, the Poisson multi-Bernoulli mixture (PMBM) recursion is prone to unstable covariance propagation under nonlinear dynamics as well as ...
Wentao Jia +3 more
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Evaluation of advanced Kalman filter on real-time agricultural soil parameters through an IoT resources-constrained device [PDF]
Scientific ReportsEffective sensor denoising is crucial for accurate, real-time agricultural decision-support systems. This study explores the application of Unscented Kalman Filter (UKF) extensions on resource-constrained devices to improve sensor denoising and enhance ...
Egas Jose Armando +4 more
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State estimation of voltage and frequency stability in solar wind integrated grids using multiple filtering techniques [PDF]
Scientific ReportsThe increasing integration of solar and wind energy into modern power grids introduces challenges in maintaining voltage and frequency stability due to their intermittent and uncertain nature.
Abdulelah Alharbi
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An Adaptive Cubature Kalman Filter for Target Tracking [PDF]
Journal of Electrical and Computer Engineering Innovations, 2022 Background and Objectives:The target tracking problem is an essential component of many engineering applications.The extended Kalman filter (EKF) is one of the most well-known suboptimal filter to solve target tracking.
R. Havangi
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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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Robust Estimation in Continuous–Discrete Cubature Kalman Filters for Bearings-Only Tracking
Applied Sciences, 2022 The model of bearings-only tracking is generally described by discrete–discrete filtering systems. Discrete robust methods are also frequently used to address measurement uncertainty problems in bearings-only tracking.
Haoran Hu, Shuxin Chen, Hao Wu, Renke He
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Improved square root adaptive cubature Kalman filter [PDF]
IET Signal Processing, 2019 In this study, an improved square root adaptive cubature Kalman filter (ISRACKF) is proposed to improve the filter performance in terms of accuracy, computation efficiency, and robustness. Through the evaluated measure of non‐linearity value, the cubature rule under different accuracy levels can be adaptively selected in the dynamic process or ...
Lei Zhang +4 more
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An Improved Location Algorithm by Extend Square-root Cubature Kalman Filter [PDF]
Journal of Computers, 2013 In this paper, the new nonlinear filter method Cubature Kalman Filter (CKF) is improved to solve the passive location problem. Firstly, the Empirical Mode Decomposition (EMD) algorithm is used to estimate the new measurement noise covariance in the filter process; And then the new covariance of the noise is brought into the circle; Meanwhile, the ...
Rui Guo Sheng, Yang Zhang, Jun Miao
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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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