Kernel Function-Based Ambiguity Function and Its Application on DOA Estimation in Impulsive Noise [PDF]
Sensors, 2022 To solve the problem that the traditional ambiguity function cannot well reflect the time-frequency distribution characteristics of linear frequency modulated (LFM) signals due to the presence of impulsive noise, two robust ambiguity functions ...
Yuzi Dou, Sen Li
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Affine Iterative Closest Point Algorithm Based on Color Information and Correntropy for Precise Point Set Registration [PDF]
Sensors, 2023 In this paper, we propose a novel affine iterative closest point algorithm based on color information and correntropy, which can effectively deal with the registration problems with a large number of noise and outliers and small deformations in RGB-D ...
Lexian Liang, Hailong Pei
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Maximum Correntropy with Variable Center Unscented Kalman Filter for Robust Power System State Estimation [PDF]
Entropy, 2022 The robust Kalman filter with correntropy loss has received much attention in recent years for forecasting-aided state estimation in power systems, since it efficiently reduces the negative influence of various abnormal situations, such as non-Gaussian ...
Zhenglong Sun, Chuanlin Liu, Siyuan Peng
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Multilayer Fused Correntropy Reprsenstation for Fault Diagnosis of Mechanical Equipment [PDF]
SensorsFault diagnosis is vital for improving the reliability and safety of mechanical equipment. Existing fault diagnosis methods require a large number of samples for model training.
Qi Deng +4 more
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Underwater Vehicle Positioning by Correntropy-Based Fuzzy Multi-Sensor Fusion [PDF]
Sensors, 2021 The ability of the underwater vehicle to determine its precise position is vital to completing a mission successfully. Multi-sensor fusion methods for underwater vehicle positioning are commonly based on Kalman filtering, which requires the knowledge of ...
Nabil Shaukat +2 more
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An Improved Toeplitz Approximation Method for Coherent DOA Estimation in Impulsive Noise Environments [PDF]
Entropy, 2023 Direction of arrival (DOA) estimation is an important research topic in array signal processing and widely applied in practical engineering. However, when signal sources are highly correlated or coherent, conventional subspace-based DOA estimation ...
Jiang’an Dai +4 more
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Variational Bayesian-Based Improved Maximum Mixture Correntropy Kalman Filter for Non-Gaussian Noise [PDF]
Entropy, 2022 The maximum correntropy Kalman filter (MCKF) is an effective algorithm that was proposed to solve the non-Gaussian filtering problem for linear systems.
Xuyou Li, Yanda Guo, Qingwen Meng
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State of Charge Estimation of Battery Based on Neural Networks and Adaptive Strategies with Correntropy [PDF]
Sensors, 2022 Nowadays, electric vehicles have gained great popularity due to their performance and efficiency. Investment in the development of this new technology is justified by increased consciousness of the environmental impacts caused by combustion vehicles such
Rômulo Navega Vieira +3 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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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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