Double-Layer Cubature Kalman Filter for Nonlinear Estimation [PDF]
Sensors, 2019 The cubature Kalman filter (CKF) has poor performance in strongly nonlinear systems while the cubature particle filter has high computational complexity induced by stochastic sampling.
Feng Yang, Yujuan Luo, Litao Zheng
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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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Fuzzy Adaptive Cubature Kalman Filter for Integrated Navigation Systems [PDF]
Sensors, 2016 This paper presents a sensor fusion method based on the combination of cubature Kalman filter (CKF) and fuzzy logic adaptive system (FLAS) for the integrated navigation systems, such as the GPS/INS (Global Positioning System/inertial navigation system ...
Chien-Hao Tseng +2 more
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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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Maximum correentropy-based robust Square-root Cubature Kalman Filter for vehicular cooperative navigation [PDF]
Scientific Reports, 2023 As the core method of cooperative navigation, relative positioning plays a key role in realizing intelligent vehicle driving and vehicle self-assembling network collaboration algorithms.
Wei Sun +4 more
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A Federated Derivative Cubature Kalman Filter for IMU-UWB Indoor Positioning [PDF]
Sensors, 2020 The inertial measurement unit and ultra-wide band signal (IMU-UWB) combined indoor positioning system has a nonlinear state equation and a linear measurement equation.
Chengyang He, Chao Tang, Chengpu Yu
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Research on sensorless control method of permanent magnet synchronous motor based on iterated cubature Kalman filter [PDF]
Science Progress, 2020 Aiming at the problems of high cost, increased volume, low reliability, and environmental interference caused by sensor installation on permanent magnet synchronous motor, estimation method for motor speed and rotor position is proposed based on iterated
Shi Peicheng +3 more
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A Novel Adaptive Robust Cubature Kalman Filter for Maneuvering Target Tracking with Model Uncertainty and Abnormal Measurement Noises [PDF]
Sensors, 2023 The features of measurement and process noise are directly related to the optimal performance of the cubature Kalman filter. The maneuvering target model’s high level of uncertainty and non-Gaussian mean noise are typical issues that the radar tracking ...
Xiangzhou Ye +4 more
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Hybrid Adaptive Cubature Kalman Filter with Unknown Variance of Measurement Noise [PDF]
Sensors, 2018 This paper is concerned with the filtering problem caused by the inaccuracy variance of measurement noise in real nonlinear systems. A novel weighted fusion estimation method of multiple different variance estimators is presented to estimate the variance
Yuepeng Shi +4 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
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