Results 41 to 50 of about 306 (149)

Maximum Correntropy Kalman Filter With State Constraints

IEEE Access, 2017
For linear systems, the original Kalman filter under the minimum mean square error (MMSE) criterion is an optimal filter under a Gaussian assumption. However, when the signals follow non-Gaussian distributions, the performance of this filter deteriorates
Xi Liu, Badong Chen, Haiquan Zhao, Jing Qin, Jiuwen Cao   +4 more
doaj   +1 more source

Adaptive Filtering Under the Maximum Correntropy Criterion With Variable Center

IEEE Access, 2019
Recently, an extended version of correntropy, whose center can locate at any position has been proposed and applied in a new optimization criterion called maximum correntropy criterion with variable center (MCC-VC).
Lingfei Zhu, Chengtian Song, Lizhi Pan, Jili Li   +3 more
doaj   +1 more source

Torque Modeling of a Segmented-Rotor SRM Using Maximum-Correntropy-Criterion-Based LSSVR for Torque Calculation of EVs [PDF]

, 2022
High nonlinearities of switched reluctance motor (SRM) caused by its double salient structure limit its industrial application in electric vehicles (EVs).
Cai, Y, Wu, J, Lei, G, Sun, X, Chen, X, Guo, Y   +5 more
core   +1 more source

Complex Correntropy Applied to a Compressive Sensing Problem in an Impulsive Noise Environment

IEEE Access, 2019
Correntropy is a similarity function capable of extracting high-order statistical information from data. It has been used in different kinds of applications as a cost function to overcome traditional methods in non-Gaussian noise environments. One of the
Joao P. F. Guimaraes, Felipe B. Da Silva, Aluisio I. R. Fontes, Ricardo Von Borries, Allan De M. Martins   +4 more
doaj   +1 more source

Nonlinearity-Robust Linear Acoustic Echo Canceller Using the Maximum Correntropy Criterion [PDF]

, 2019
For the problem of acoustic echo cancellation (AEC) with nonlinear distortions, we propose to use a linear adaptive filter that maximizes the Correntropy similarity measure instead of the conventional minimization of the mean squared error (MSE ...
Massicotte, D., Merabti, H., Hocine Merabti, Wei-Ping Zhu, Zhu, W. P., Daniel Massicotte   +5 more
core   +1 more source

Robust Pose Estimation Based on Maximum Correntropy Criterion

, 2021
Part 13: Machine LearningInternational audiencePose estimation is a key problem in computer vision, which is commonly used in augmented reality, robotics and navigation.
Badong Chen, Zhang, Qian, Chen, Badong, Qian Zhang   +3 more
core   +1 more source

Maximum Correntropy Square-Root Cubature Kalman Filter for Non-Gaussian Measurement Noise

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, Changku Sun, Baoshang Zhang, Peng Wang   +3 more
doaj   +1 more source

Neurodynamic TDOA localization with NLOS mitigation via maximum correntropy criterion

, 2020
n this paper, we exploit the maximum correntropy criterion (MCC) to robustify the traditional time difference-of-arrival (TDOA) location estimator in the presence of non-line-of-sight (NLOS) propagationconditions.
Xiong, Wenxin, Schindelhauer, Christian, Liang, Junli, So, Hing Cheung   +3 more
core   +1 more source

A Proportionate Normalized Maximum Correntropy Criterion Algorithm with Correntropy Induced Metric Constraint for Identifying Sparse Systems

, 2018
A proportionate-type normalized maximum correntropy criterion (PNMCC) with a correntropy induced metric (CIM) zero attraction terms is presented, whose performance is also discussed for identifying sparse systems.
Yingsong Li, Yanyan Wang, Laijun Sun
core   +1 more source

Maximum Correntropy Criterion-based UKF for Tightly Coupling INS and UWB with non-Gaussian Uncertainty Noise

, 2022
In this paper, unscented Kalman filter (UKF) based on maximum correntropy criterion (MCC) instead of minimum mean square error (MMSE) criterion, and it is applied to tightly coupled integration of inertial navigation system (INS) and ultra wide-band (UWB)
Lee, Jae Hong, Cho, Seong Yun, Park, Chan Gook   +2 more
core   +1 more source