Variational Bayesian-Based Improved Maximum Mixture Correntropy Kalman Filter for Non-Gaussian Noise. [PDF]
Entropy (Basel), 2022 Li X, Guo Y, Meng Q.
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State of Charge Estimation of Battery Based on Neural Networks and Adaptive Strategies with Correntropy. [PDF]
Sensors (Basel), 2022 Navega Vieira R +3 more
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Student's t-Kernel-Based Maximum Correntropy Kalman Filter. [PDF]
Sensors (Basel), 2022 Huang H, Zhang H.
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Generalized M-Estimation-Based Framework for Robust Guidance Information Extraction. [PDF]
Entropy (Basel)Ren J, Zhang X, Li S, Tan P.
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Robust Sparse Non-Negative Matrix Factorization for Identifying Signals of Interest in Bearing Fault Detection. [PDF]
Sensors (Basel)Shiri H, Michalak A.
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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.
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Variable Bayesian-Based Maximum Correntropy Criterion Cubature Kalman Filter with Application to Target Tracking. [PDF]
Entropy (Basel)Ma Y, Zhang G, Ye S, An D.
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Maximum Correntropy Criterion Kalman/Allan Variance-Assisted FIR Integrated Filter for Indoor Localization. [PDF]
Micromachines (Basel)Li M, Deng L, Zhang Y, Xu Y, Gao Y.
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Extended Object Tracking Based on Gaussian Process in Non-Gaussian Noise Environment
Journal of Aerospace Technology and ManagementExtended object tracking (EOT) is a prominent research area in high-resolution radar surveillance, ship tracking, and video tracking. However, EOT algorithms are susceptible to non-Gaussian noise from factors such as sensor performance and ...
Lifan Sun, Yongning Wang, Dan Gao
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Stochastic Gradient Descent for Kernel-Based Maximum Correntropy Criterion. [PDF]
Entropy (Basel)Li T, Wang B, Peng C, Yin H.
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