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
doaj +4 more sources
Adaptively Robust Square-Root Cubature Kalman Filter Based on Amending [PDF]
IEEE Access, 2021 To solve the problem of decreased filtering accuracy and even filter divergence for the case that the model errors and measurement outliers exist simultaneously, an adaptively robust square-root cubature Kalman filter (SRCKF) based on amending is ...
Chunhui Li +3 more
doaj +3 more sources
Maximum Correntropy Square-Root Cubature Kalman Filter for Non-Gaussian Measurement Noise [PDF]
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
doaj +3 more sources
High Dynamic Weak Signal Tracking Algorithm of a Beidou Vector Receiver Based on an Adaptive Square Root Cubature Kalman Filter [PDF]
Sensors, 2021 Compared with a scalar tracking receiver, the Beidou vector tracking receiver has the advantages of smaller tracking errors, fast loss-of-lock reacquisition, and high stability.
Na Li, Shufang Zhang, Yi Jiang
doaj +4 more sources
The Square-Root Unscented and the Square-Root Cubature Kalman Filters on Manifolds [PDF]
SensorsEstimating the state of a system by fusing sensor data is a major prerequisite in many applications. When the state is time-variant, derivatives of the Kalman filter are a popular choice for solving that task.
Joachim Clemens, Constantin Wellhausen
doaj +4 more sources
A Robust Hierarchical Estimation Scheme for Vehicle State Based on Maximum Correntropy Square-Root Cubature Kalman Filter [PDF]
Entropy, 2023 Accurate acquisition of vehicle dynamics state information is essential for vehicle active safety control systems. However, these states cannot be easily measured, and the measurement is expensive.
Dengliang Qi +4 more
doaj +4 more sources
Using Constrained Square-Root Cubature Kalman Filter for Quantifying the Severity of Epileptic Activities in Mice [PDF]
Biomedicines, 2022 (1) Background: Quantification of severity of epileptic activities, especially during electrical stimulation, is an unmet need for seizure control and evaluation of therapeutic efficacy.
Chih-Hsu Huang +3 more
doaj +4 more sources
Dual-Mode Square Root Cubature Kalman Filter for Miniaturized Underwater Profiler Dead Reckoning [PDF]
Journal of Marine Science and EngineeringMiniaturized underwater profilers have the advantages of small size, low cost, and flexible deployment, which play together an important role in the persistent monitoring of a designated ocean area.
Yang Zhang +7 more
doaj +3 more sources
Adaptive Strong Tracking Square-Root Cubature Kalman Filter for Maneuvering Aircraft Tracking
IEEE Access, 2018 A novel strong tracking square-root cubature Kalman filter (SCKF) based on the adaptive current statistical (CS) model is proposed aiming at the maneuvering aircraft tracking problem.
Haowei Zhang +4 more
doaj +3 more sources
Maximum Correntropy Square-Root Cubature Kalman Filter with State Estimation for Distributed Drive Electric Vehicles [PDF]
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
doaj +2 more sources