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Kernel adaptive filtering with maximum correntropy criterion [PDF]
The 2011 International Joint Conference on Neural Networks, 2011 Kernel adaptive filters have drawn increasing attention due to their advantages such as universal nonlinear approximation with universal kernels, linearity and convexity in Reproducing Kernel Hilbert Space (RKHS). Among them, the kernel least mean square (KLMS) algorithm deserves particular attention because of its simplicity and sequential learning ...
Songlin Zhao +2 more
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IEEE Access, 2021 A new robust cubature Kalman filter is proposed using adaptive generalized maximum correntropy (AGMC) criterion rather than the conventional MMSE criterion in this paper.
Kaiqiang Feng +4 more
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Entropy, 2020 The complex correntropy has been successfully applied to complex domain adaptive filtering, and the corresponding maximum complex correntropy criterion (MCCC) algorithm has been proved to be robust to non-Gaussian noises.
Fei Dong, Guobing Qian, Shiyuan Wang
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An Adaptive Channel Estimation Based on Fixed-Point Generalized Maximum Correntropy Criterion
IEEE Access, 2020 Many conventional adaptive channel estimation methods are based on minimum mean square error (MMSE) criterion, maximum correntropy criterion (MCC) or least p-norm criterion.
Pengcheng Yue +3 more
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A Maximum Correntropy Divided Difference Filter for Cooperative Localization
IEEE Access, 2018 This paper derives a new maximum correntropy divided difference filter (DDF) to address the heavy-tailed measurement noise induced by non-Gaussian measurements in cooperative localization of autonomous underwater vehicles.
Chengjiao Sun +3 more
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Adaptive identification under the maximum correntropy criterion with variable center
Радіоелектронні і комп'ютерні системи, 2022 The problem of identifying the parameters of a linear object in the presence of non-Gaussian noise is considered. The identification algorithm is a gradient procedure for maximizing the functional, which is a correntropy. This functionality allows you to
Oleg Rudenko, Oleksandr Bezsonov
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Robust Pose Estimation Based on Maximum Correntropy Criterion
, 2021 Pose estimation is a key problem in computer vision, which is commonly used in augmented reality, robotics and navigation. The classical orthogonal iterative (OI) pose estimation algorithm builds its cost function based on the minimum mean square error (MMSE), which performs well when data disturbed by Gaussian noise.
Qian Zhang, Badong Chen
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Kernel Adaptive Filters With Feedback Based on Maximum Correntropy
IEEE Access, 2018 This paper presents novel kernel adaptive filters with feedback, namely, kernel recursive maximum correntropy with multiple feedback (KRMC-MF) and its simplified version, a linear recurrent kernel online learning algorithm based on maximum correntropy ...
Shiyuan Wang +4 more
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Adaptive blind equalization for multi‐level QAM signals in impulsive noise environment
IET Communications, 2022 A maximum correntropy criterion‐blind clustering multi‐modulus algorithm (MCC‐BCMMA) is proposed to equalize multi‐level quadrature amplitude modulation (QAM) channels in impulsive noise environment.
Yijiao Zhang +5 more
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Multi-convex combined filter based on maximum correntropy criterion
Dianzi Jishu Yingyong, 2018 Correntropy based algorithms are widely used in non-Gaussian signal processing, but they also suffer from the conflict between the step size and the misadjustment.
Wu Wenjing +3 more
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