Generalized Maximum Complex Correntropy Augmented Adaptive IIR Filtering
Entropy, 2022 Augmented IIR filter adaptive algorithms have been considered in many studies, which are suitable for proper and improper complex-valued signals. However, lots of augmented IIR filter adaptive algorithms are developed under the mean square error (MSE ...
Haotian Zheng, Guobing Qian
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Adaptive Maximum Correntropy Gaussian Filter Based on Variational Bayes [PDF]
Sensors, 2018 In this paper, we investigate the state estimation of systems with unknown covariance non-Gaussian measurement noise. A novel improved Gaussian filter (GF) is proposed, where the maximum correntropy criterion (MCC) is used to suppress the pollution of ...
Guoqing Wang +3 more
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Diffusion Maximum Correntropy Criterion Based Robust Spectrum Sensing in Non-Gaussian Noise Environments [PDF]
Entropy, 2018 Spectrum sensing is the most important task in cognitive radio (CR). In this paper, a new robust distributed spectrum sensing approach, called diffusion maximum correntropy criterion (DMCC)-based robust spectrum sensing, is proposed for CR in the ...
Xiguang Xu +4 more
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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 +4 more
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Maximum Correntropy Based Unscented Particle Filter for Cooperative Navigation with Heavy-Tailed Measurement Noises [PDF]
Sensors, 2018 In this paper, a novel robust particle filter is proposed to address the measurement outliers occurring in the multiple autonomous underwater vehicles (AUVs) based cooperative navigation (CN).
Ying Fan +4 more
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Sparse-Aware Bias-Compensated Adaptive Filtering Algorithms Using the Maximum Correntropy Criterion for Sparse System Identification with Noisy Input [PDF]
Entropy, 2018 To address the sparse system identification problem under noisy input and non-Gaussian output measurement noise, two novel types of sparse bias-compensated normalized maximum correntropy criterion algorithms are developed, which are capable of ...
Wentao Ma +5 more
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Maximum Correntropy Unscented Kalman Filter for Spacecraft Relative State Estimation [PDF]
Sensors, 2016 A new algorithm called maximum correntropy unscented Kalman filter (MCUKF) is proposed and applied to relative state estimation in space communication networks.
Xi Liu +4 more
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Maximum Total Improper Complex Correntropy Algorithm for Widely Linear Adaptive Filtering
IEEE Access, 2022 The maximum total complex correntropy (MTCC) algorithm improves the performance of adaptive filtering under the error in variable (EIV) model by integrating both input and output noise information into the total complex correntropy.
Lianqing Fu, Li Zhou
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Remote Sensing, 2022 To improve the accuracy of the maximum correntropy Kalman filter (MCKF) in wireless sensors networks (WSNs) positioning, a dynamic self-tuning maximum correntropy Kalman filter (DSTMCKF) is proposed, where innovation and the sensors information of the ...
Tianrui Liao +4 more
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Generalized Asymmetric Correntropy for Robust Adaptive Filtering: A Theoretical and Simulation Study
Remote Sensing, 2022 Correntropy has been proved to be effective in eliminating the adverse effects of impulsive noises in adaptive filtering. However, correntropy is not desirable when the error between the two random variables is asymmetrically distributed around zero.
Hua Qu +5 more
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