Results 21 to 30 of about 194 (121)
IET Generation, Transmission &Distribution, Volume 17, Issue 5, Page 1111-1122, March 2023., 2023 A novel parameter estimation method is proposed for the permanent magnet synchronous generator (PMSG), which is implemented by an enhanced self‐learning particle swarm optimization algorithm with Levy flight (SLPSO), and the problem of lower parameter estimation precision of standard PSO is obviated.
Wan Feng +3 more
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Robust localization based on non‐parametric kernel technique
Electronics Letters, Volume 58, Issue 22, Page 850-852, October 2022., 2022 Abstract Parametric approaches are primarily used in the context of robust localization. However, the localization performance is degraded when there is a mismatch between the assumed model and the actual situation. To circumvent this problem, in this letter, a robust weighted least squares (WLS) method based on the non‐parametric kernel density ...
Chee‐Hyun Park, Joon‐Hyuk Chang
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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
doaj +1 more source
Maximum Correntropy Criterion with Distributed Method
Mathematics, 2022 The Maximum Correntropy Criterion (MCC) has recently triggered enormous research activities in engineering and machine learning communities since it is robust when faced with heavy-tailed noise or outliers in practice.
Fan Xie +3 more
doaj +1 more source
Cognitive Computation and Systems, Volume 4, Issue 3, Page 205-217, September 2022., 2022 Abstract Aiming at meetiing the need to filtering flight trajectory data for aircraft testing, a novel adaptive cubature Kalman filter (CKF) is proposed based on the maximum correntropy and Gaussian‐sum in this paper. Firstly, based on the traditional CKF algorithm, we introduced a Gaussian‐sum method to approximate non‐Gaussian noise to get more ...
Jing G. Bai +4 more
wiley +1 more source
IET Renewable Power Generation, Volume 16, Issue 12, Page 2556-2565, 7 September 2022., 2022 Abstract At present, the penetration of wind power generation is increasing remarkably worldwide, and the accurate wind power forecasting (WPF) is essential to ensure the reliability and economy of the power system. Most of the current work of WPF only capture temporal correlation in the time domain but ignore the spatial correlation.
Yuqin He +4 more
wiley +1 more source
Interacting Multiple Model Filter with a Maximum Correntropy Criterion for GPS Navigation Processing
Applied Sciences, 2023 In order to deal with the uncertainty of measurement noise, particularly for outlier types of multipath interference and non-line of sight (NLOS) reception, this paper proposes a novel method for processing the navigation states of the Global Positioning
Dah-Jing Jwo, Jen-Hsien Lai, Yi Chang
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An approach to adaptive filtering with variable step size based on geometric algebra
IET Communications, Volume 16, Issue 10, Page 1094-1105, 23 June 2022., 2022 Abstract Recently, adaptive filtering algorithms have attracted much more attention in the field of signal processing. By studying the shortcoming of the traditional real‐valued fixed step size adaptive filtering algorithm, this paper proposed the novel approach to adaptive filtering with variable step size based on Sigmoid function and geometric ...
Haiquan Wang +3 more
wiley +1 more source
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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Maximum Correntropy High‐Order Extended Kalman Filter
Chinese Journal of Electronics, Volume 31, Issue 1, Page 190-198, January 2022., 2022 In this paper, a novel maximum correntropy high‐order extended Kalman filter (H‐MCEKF) is proposed for a class of nonlinear non‐Gaussian systems presented by polynomial form. All high‐order polynomial terms in the state model are defined as implicit variables and regarded as parameter variables; the original state model is equivalently formulated into ...
Xiaohui SUN, Chenglin WEN, Tao WEN
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