Results 21 to 30 of about 306 (149)
Mathematics, 2023 This paper studies the identification for fractional-order systems (FOSs) under stable distribution noises. First, the generalized operational matrix of block pulse functions is used to convert the identified system into an algebraic one.
Yao Lu
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Journal of Marine Science and Engineering, 2022 Robust nonlinear filtering is an important method for tracking maneuvering targets in non-Gaussian noise environments. Although there are many robust filters for nonlinear systems, few of them have ideal performance for mixed Gaussian noise and non ...
Tianjing Wang, Lanyong Zhang, Sheng Liu
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IET Signal ProcessingUnderstanding natural phenomena relies heavily on learning criteria aimed at minimizing model errors and enhancing fidelity to real-world conditions.
Fatemeh Mohamaddust +2 more
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IET Signal ProcessingThe implementation of Kalman filter (KF) in tracking high-dimensional, strongly correlated graph structured data is often complex and unstable. Meanwhile, in practical applications, the system may be subject to interference from non-Gaussian noise and ...
Bingyu Yin, Xinmin Song
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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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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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Indoor Positioning Algorithm Based on Maximum Correntropy Unscented Information Filter
ISPRS International Journal of Geo-Information, 2021 In view of the fact that indoor positioning systems are usually affected by non-Gaussian noise in complex indoor environments, this paper tests the data in the actual scene and analyzes the distribution characteristics of noise, and proposes a new indoor
Li Ma +3 more
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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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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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Electricity Consumption Forecasting Scheme via Improved LSSVM with Maximum Correntropy Criterion
Entropy, 2018 In recent years, with the deepening of China’s electricity sales side reform and electricity market opening up gradually, the forecasting of electricity consumption (FoEC) becomes an extremely important technique for the electricity market.
Jiandong Duan +4 more
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