Results 41 to 50 of about 194 (121)
IEEE Access, 2020 In wireless sensor networks (WSN), measurements are always corrupted by outliers or impulsive noise. Cubature information filtering (CIF) is founded based on minimum mean square error (MMSE) criterion, which is not applicable to non-Gaussian noise. Hence,
Jiahao Zhang +5 more
doaj +1 more source
IEEE Access, 2019 In this paper, a kind of active coefficient detection (ACD)-based maximum correntropy criterion (MCC) algorithm is proposed to estimate a sparse multi-path channel under the non-Gaussian environments. The proposed ACD-based MCC algorithms are realized by
Zeyang Sun +3 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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Partial maximum correntropy regression for robust electrocorticography decoding
Frontiers in Neuroscience, 2023 The Partial Least Square Regression (PLSR) method has shown admirable competence for predicting continuous variables from inter-correlated electrocorticography signals in the brain-computer interface.
Yuanhao Li +4 more
doaj +1 more source
IET Control Theory &Applications, Volume 19, Issue 1, January/December 2025.This work addresses the issue of rejection delay due to DoS attacks triggered by historical measurements during the transmission of a large amount of measurement data in WECS‐based networked microgrids. We propose a novel robust SRCKF method, designated as MCC‐SRCKF, which incorporates MCC into the SRCKF structure of DSE.
Xiao Hu +4 more
wiley +1 more source
A Student's T Distribution‐Based Filter Design for SINS/GNSS With Heavy‐Tailed Noise
IET Electric Power Applications, Volume 19, Issue 1, January/December 2025.To reduce the affection of outliers caused by heavy‐tailed noise, the noise model is constructed by the Student's T distribution rather than the Gaussian distribution, and the related probability density functions (PDF) are adaptively modelled as student's T PDFs with different DoF parameters.
Menghao Qian, Wei Chen, Ruisheng Sun
wiley +1 more source
IET Radar, Sonar &Navigation, Volume 19, Issue 1, January/December 2025.This work explores underwater TMA by incorporating time delay and Doppler frequency measurements along with angle data, eliminating the need for own‐ship manoeuvre and improving estimation accuracy in presence of non‐Gaussian sensor noise. Furthermore, since the own‐ship's position is inherently uncertain due to navigation errors, this work addresses ...
Rohit Kumar Singh +2 more
wiley +1 more source
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
doaj +1 more source
ℓ1${\ell }_1$ norm‐based recursive estimation for non‐linear systems with non‐Gaussian noises
IET Control Theory &Applications, Volume 18, Issue 11, Page 1424-1434, July 2024.This study presents the state estimation problem of discrete‐time nonlinear stochastic system with non‐Gaussian noise. To further improve estimation accuracy, a recursive nonlinear smoother is put forward on the basis of minimizing l1 norm of model errors.
Yuemei Qin, Jun Li, Shuying Li
wiley +1 more source
High Voltage, Volume 9, Issue 3, Page 749-761, June 2024.Abstract When some new‐type sensors are subjected electromagnetic interference (EMI), the traditional standard can no longer serve as the guidance for their EMI protection. Therefore, it is necessary to evaluate the complexity of the new sensing equipment's suffering from electromagnetic interference.
Wenchao Lu +5 more
wiley +1 more source