Results 101 to 110 of about 2,942 (188)

Robust Student’s t-Based Stochastic Cubature Filter for Nonlinear Systems With Heavy-Tailed Process and Measurement Noises

IEEE Access, 2017
In this paper, a new robust Student's t-based stochastic cubature filter (RSTSCF) is proposed for a nonlinear state-space model with heavy-tailed process and measurement noises.
Yulong Huang, Yonggang Zhang
doaj   +1 more source

UWB Localization Based on Improved Robust Adaptive Cubature Kalman Filter. [PDF]

Sensors (Basel), 2023
Dong J, Lian Z, Xu J, Yue Z.
europepmc   +1 more source

Seamless MEMS-INS/Geomagnetic Navigation System Based on Deep-Learning Strong Tracking Square-Root Cubature Kalman Filter. [PDF]

Micromachines (Basel), 2023
Zhao T, Wang C, Shen C.
europepmc   +1 more source

Research on Pedestrian Indoor Positioning Based on Two-Step Robust Adaptive Cubature Kalman Filter with Smartphone MEMS Sensors. [PDF]

Micromachines (Basel), 2023
Geng J, Yu X, Wu C, Zhang G.
europepmc   +1 more source

A Robust Hierarchical Estimation Scheme for Vehicle State Based on Maximum Correntropy Square-Root Cubature Kalman Filter. [PDF]

Entropy (Basel), 2023
Qi D, Feng J, Li Y, Wang L, Song B.
europepmc   +1 more source

Using Constrained Square-Root Cubature Kalman Filter for Quantifying the Severity of Epileptic Activities in Mice. [PDF]

Biomedicines, 2022
Huang CH, Wang PH, Ju MS, Lin CK.
europepmc   +1 more source

Joint Estimation of Mass and Center of Gravity Position for Distributed Drive Electric Vehicles Using Dual Robust Embedded Cubature Kalman Filter. [PDF]

Sensors (Basel), 2022
Zhang Z, Yin G, Wu Z.
europepmc   +1 more source

A Novel Factor Graph and Cubature Kalman Filter Integrated Algorithm for Single-Transponder-Aided Cooperative Localization. [PDF]

Entropy (Basel), 2021
Zhao W, Zhao H, Zou D, Liu L.
europepmc   +1 more source

The Square-Root Unscented and the Square-Root Cubature Kalman Filters on Manifolds

Sensors
Estimating 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   +1 more source

Cubature Kalman Filter Based Training of Hybrid Differential Equation Recurrent Neural Network Physiological Dynamic Models. [PDF]

Annu Int Conf IEEE Eng Med Biol Soc, 2021
Demirkaya A, Imbiriba T, Lockwood K, Rampersad S, Alhajjar E, Guidoboni G, Danziger Z, Erdogmus D.   +7 more
europepmc   +1 more source