Results 91 to 100 of about 935 (185)

Robust Dynamic State Estimation of Power System With Measurement Outliers Based on Parameterized Analytical Cubature Kalman Filter

IET Renewable Power Generation, Volume 19, Issue 1, January/December 2025.
Accurate state estimation is paramount for the smooth operation and management of power systems, significantly contributing to their safety, stability, and reliability. However, the presence of channel noise and outliers stemming from phasor measurement units renders the noise model a deviation from the Gaussian distribution. To mitigate this challenge,
Mingyang Liu, Yanxin Liu, Yi Wang, Venkata Dinavahi, Ze Gao   +4 more
wiley   +1 more source

Distributed Maximum Correntropy Linear Filter Based on Rational Quadratic Kernel Against Non-Gaussian Noise

This paper investigates the distributed state estimation problem for the linear system against non-Gaussian noise, where every sensor commutates information only within its adjacent sensors without the need for a fusion center.
Jiahui Yang, Xuehua Zhao, Dejun Mu
core   +1 more source

Maximum Correntropy Criterion Constrained Kalman Filter

, 2017
Non-Gaussian noise may degrade the performance of the Kalman filter because the Kalman filter uses only second-order statistical information, so it is not optimal in non-Gaussian noise environments. Also, many systems include equality or inequality state
Seyed Fakoorian, Vahid Azimi, Dan Simon, Reza Izanloo, Mahmoud Moosavi   +4 more
core   +1 more source

Robust Graph-Based Semisupervised Learning for Noisy Labeled Data via Maximum Correntropy Criterion.

, 2020
Semisupervised learning (SSL) methods have been proved to be effective at solving the labeled samples shortage problem by using a large number of unlabeled samples together with a small number of labeled samples. However, many traditional SSL methods may
Du B, Zhang L, Tao D, Wang Z, Xinyao T
core   +1 more source

Multi-Kernel Maximum Correntropy Kalman Filter for Orientation Estimation

, 2022
Inertial measurement units (IMUs), composed of gyroscopes, accelerometers, and magnetometers, have been widely used in the fields of human motion animation, rehabilitation, robotics, and aerospace.
Li, Lijing, Duan, Pu, Shi, Dawei, Li, Shilei, Zou, Wulin, Shi, Ling   +5 more
core   +1 more source

Generalized Maximum Correntropy Cubature Kalman Filter with Variational Bayesian for SINS/GPS Integrated Navigation Systems

Sensors
To address the degraded accuracy and poor robustness of Strapdown Inertial Navigation Systems (SINSs)/Global Positioning Systems (GPSs) integrated navigation systems under time-varying non-Gaussian measurement noises, this paper proposes a variational ...
Weisheng Ma, Bin Wei, Xi Liu
doaj   +1 more source

A Robust GPS Navigation Filter Based on Maximum Correntropy Criterion with Adaptive Kernel Bandwidth. [PDF]

Sensors (Basel), 2023
Jwo DJ, Chen YL, Cho TS, Biswal A.
europepmc   +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

Regularized Maximum Correntropy Criterion Kalman Filter for Uncalibrated Visual Servoing in the Presence of Non-Gaussian Feature Tracking Noise. [PDF]

Sensors (Basel), 2023
Leite GR, Araújo ÍBQ, Martins AM.
europepmc   +1 more source

Multi-Sensor Integrated Navigation Fusion Algorithm Based on Maximum Correntropy Criterion [PDF]

Hangkong bingqi
Aiming at the decreasing problem that the filtering accuracy of traditional multi-sensor integrated navigation system information fusion method under non-Gaussian measurement noise， this paper extends Kalman filter based on maximum correntropy criterion （
Lin Xueyuan, Pan Xinlong, Li Xin
doaj   +1 more source