Frontiers in PhysicsIntroduction: The unscented Kalman filter based on unbiased minimum-variance (UKF-UMV) estimation is usually used to handle the state estimation problem of nonlinear systems with an unknown input.
Yike Zhang, Ben Niu, Xinmin Song
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Variable Bayesian-Based Maximum Correntropy Criterion Cubature Kalman Filter with Application to Target Tracking. [PDF]
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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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Maximum Correntropy Linear Prediction for Voice Inverse Filtering: Theoretical Framework and Practical Implementation. [PDF]
IEEE Trans Audio Speech Lang Process (2025)Zalazar IA +3 more
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Event-Driven Maximum Correntropy Filter Based on Cauchy Kernel for Spatial Orientation Using Gyros/Star Sensor Integration. [PDF]
Sensors (Basel)Cui K, Liu Z, Han J, Ma Y, Liu P, Gao B.
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Electricity Consumption Forecasting using Support Vector Regression with the Mixture Maximum Correntropy Criterion. [PDF]
Entropy (Basel), 2019 Duan J +5 more
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Robust 3D point cloud registration based on bidirectional Maximum Correntropy Criterion. [PDF]
PLoS One, 2018 Zhang X, Jian L, Xu M.
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Adaptive Robust Unscented Kalman Filter via Fading Factor and Maximum Correntropy Criterion. [PDF]
Sensors (Basel), 2018 Deng Z, Yin L, Huo B, Xia Y.
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Maximum correentropy-based robust Square-root Cubature Kalman Filter for vehicular cooperative navigation. [PDF]
Sci Rep, 2023 Sun W, Zhang X, Ding W, Zhang H, Liu A.
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Electricity Consumption Forecasting Scheme via Improved LSSVM with Maximum Correntropy Criterion. [PDF]
Entropy (Basel), 2018 Duan J, Qiu X, Ma W, Tian X, Shang D.
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