Results 51 to 60 of about 209 (123)
Group-Constrained Maximum Correntropy Criterion Algorithms for Estimating Sparse Mix-Noised Channels
Entropy, 2017 A group-constrained maximum correntropy criterion (GC-MCC) algorithm is proposed on the basis of the compressive sensing (CS) concept and zero attracting (ZA) techniques and its estimating behavior is verified over sparse multi-path channels.
Yanyan Wang +3 more
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Maximum Correntropy Extended Kalman Filtering with Nonlinear Regression Technique for GPS Navigation
Applied SciencesOne technique that is widely used in various fields, including nonlinear target tracking, is the extended Kalman filter (EKF). The well-known minimum mean square error (MMSE) criterion, which performs magnificently under the assumption of Gaussian noise,
Amita Biswal, Dah-Jing Jwo
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Cooperative Localization in Harsh Underwater Environment Based on the MC-ANFIS
IEEE Access, 2019 In this paper, a new cooperative localization (CL) method for multiple autonomous underwater vehicles (AUVs) is proposed to address the problem of measurement outliers and communication packet loss caused by the harsh underwater environment.
Bo Xu +3 more
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IEEE Access, 2019 The adaptive algorithms have been widely studied in Gaussian environment. However, the impulsive noise and other non-Gaussian noise may largely deteriorate the performance of algorithm in practical applications. To address this problem, in this paper, we
Xiaoding Wang, Jun Han
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Adaptive Maximum Correntropy Gaussian Filter Based on Variational Bayes
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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Causal Identification Based on Compressive Sensing of Air Pollutants Using Urban Big Data
IEEE Access, 2020 This study addresses the causal identification of air pollutants from surrounding cities affecting Beijing's air quality. A novel compressive sensing causality analysis (CS-Causality) method, which combines Granger causality analysis (GCA) and maximum ...
Mingwei Li +4 more
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A target tracking method based on maximum correntropy Kalman filtering under biased measurements
Dianzi Jishu YingyongTo address the issue of poor target state estimation accuracy under conditions where sensors have system bias and noise is non-Gaussian, a target tracking method based on the maximum correntropy Kalman filter (MCKF) under biased measurements is proposed.
Wei Chunling +3 more
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Joint Estimation of the DOA and the Number of Sources for Wideband Signals Using Cyclic Correntropy
IEEE Access, 2019 In this paper, a new direction of arrival (DOA) and the number of signals of interest (SOIs) estimation method is proposed for wideband sources in impulsive noise environments.
Fangxiao Jin +3 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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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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