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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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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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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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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Improved Strong Tracking Cubature Kalman Filter for UWB Positioning. [PDF]
Sensors (Basel), 2023 For the problems of Non-Line-of-Sight (NLOS) observation errors and inaccurate predictive dynamics model in wireless ultra-wideband (UWB) positioning systems, an improved strong tracking cubature Kalman filter (ISTCKF) positioning algorithm is proposed in this paper. The main idea of the algorithm is as follows.
Pu Y +6 more
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An Improved Strong Tracking Cubature Kalman Filter for GPS/INS Integrated Navigation Systems [PDF]
Sensors, 2018 The cubature Kalman filter (CKF) is widely used in the application of GPS/INS integrated navigation systems. However, its performance may decline in accuracy and even diverge in the presence of process uncertainties. To solve the problem, a new algorithm
Kaiqiang Feng +7 more
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SINGULAR VALUE DECOMPOSITION-BASED ROBUST CUBATURE KALMAN FILTER FOR AN INTEGRATED GPS/SINS NAVIGATION SYSTEM [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2014 A new nonlinear robust filter is proposed in this paper to deal with the outliers of an integrated GPS/SINS navigation system. The influence of different design parameters for H∞ cubature Kalman filter is analysed.
Q. Zhang, X. Meng, S. Zhang, Y. Wang
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Interacting Multiple Model (IMM) Fifth-Degree Spherical Simplex-Radial Cubature Kalman Filter for Maneuvering Target Tracking [PDF]
Sensors, 2017 For improving the tracking accuracy and model switching speed of maneuvering target tracking in nonlinear systems, a new algorithm named the interacting multiple model fifth-degree spherical simplex-radial cubature Kalman filter (IMM5thSSRCKF) is ...
Hua Liu, Wen Wu
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