Results 61 to 70 of about 50,949 (199)

Multi-Sensor Integrated Navigation Fusion Algorithm Based on Maximum Correntropy Criterion [PDF]

Hangkong bingqi
Aiming at the decreasing problem that the filtering accuracy of traditional multi-sensor integrated navigation system information fusion method under non-Gaussian measurement noise， this paper extends Kalman filter based on maximum correntropy criterion （
Lin Xueyuan, Pan Xinlong, Li Xin
doaj   +1 more source

A Cooperative Adaptive Kalman Filter for Robust Terrain‐Referenced Navigation in Complex Environments

IET Radar, Sonar &Navigation, Volume 20, Issue 1, January/December 2026.
This paper introduces a Cooperative Adaptive Kalman Filter (CAKF) to prevent filter divergence in a Terrain‐Aided Navigation system by synergistically adapting its process noise (Q), measurement noise (R), and state covariance (P) based on vehicle manoeuvres and terrain quality.
Liyue Liang, Daojie Yu, Jianping Du, Yijie Bai, Tao Li, Jiale Zhou   +5 more
wiley   +1 more source

Maximum Correntropy Kalman Filter With State Constraints

IEEE Access, 2017
For linear systems, the original Kalman filter under the minimum mean square error (MMSE) criterion is an optimal filter under a Gaussian assumption. However, when the signals follow non-Gaussian distributions, the performance of this filter deteriorates
Xi Liu, Badong Chen, Haiquan Zhao, Jing Qin, Jiuwen Cao   +4 more
doaj   +1 more source

A TC‐Based Multicomponent LFM Signal Characterization Method Under Impulsive Noise and Its Application

IET Signal Processing, Volume 2026, Issue 1, 2026.
The burst‐like and high‐amplitude characteristics of impulsive noise, which markedly differ from those of Gaussian noise, render methods based on the Gaussian assumption unable to accurately characterize signals under impulsive noise. Moreover, when dealing with multicomponent signal, existing impulsive noise suppression methods inevitably introduce ...
Weiwei Shang, Yong Guo, Lidong Yang, Tianyuan Liu   +3 more
wiley   +1 more source

Imagined Chinese Speech Decoding Based on Initials and Finals From EEG Activity

IET Signal Processing, Volume 2026, Issue 1, 2026.
Brain‐computer interface (BCI) plays an important role in various fields, such as neuroscience, rehabilitation, and machine learning. The silent BCI, which can reconstruct inner speech from neural activity, holds great promise for aphasia patients. In this paper, we design an imagined Chinese speech experimental paradigm based on initials and finals ...
Jingyu Gu, Jiuchuan Jiang, Qian Cai, Haixian Wang, Chao Zhai   +4 more
wiley   +1 more source

An adaptive combination constrained proportionate normalized maximum correntropy criterion algorithm for sparse channel estimations

EURASIP Journal on Advances in Signal Processing, 2018
An adaptive combination constrained proportionate normalized maximum correntropy criterion (ACC-PNMCC) algorithm is proposed for sparse multi-path channel estimation under mixed Gaussian noise environment. The developed ACC-PNMCC algorithm is implemented
Yanyan Wang, Yingsong Li, José Carlos M. Bermudez, Xiao Han   +3 more
doaj   +1 more source

Student’s t‐Kernel‐Based Graph Signals Maximum Correntropy Unscented Kalman Filter Under Hybrid Cyberattacks

IET Signal Processing, Volume 2026, Issue 1, 2026.
The 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 various cyberattacks.
Bingyu Yin, Xinmin Song, Wenling Li
wiley   +1 more source

MPHLDAE‐1DCNN: A Novel Denoising Method for Improved Fault Diagnosis

International Journal of Rotating Machinery, Volume 2026, Issue 1, 2026.
Fault diagnosis of rotating machines has undergone significant advancements through the use of deep learning models. However, the effectiveness of these models is often compromised by noisy raw vibration data collected from industrial machines, which can negatively impact accuracy rates. To address this challenge, we present an improved fault diagnosis
Fasikaw Kibrete, Dereje Engida Woldemichael, Hailu Shimels Gebremedhen, Sohini Basu Roy   +3 more
wiley   +1 more source

Design of a Solar‐Wind Hybrid Renewable Energy System for Power Quality Enhancement: A Case Study of 2.5 MW Real Time Domestic Grid

Engineering Reports, Volume 7, Issue 1, January 2025.
Simulation model of proposed system. ABSTRACT The increasing global energy demand driven by climate change, technological advancements, and population growth necessitates the development of sustainable solutions. This research investigates the design, modeling, and simulation of a 2.5 MW solar‐wind hybrid renewable energy system (SWH‐RES) optimized for
F. Max Savio, S. Vinson Joshua, K. Usha, Muhammad Faheem, Raju Kannadasan, Arfat Ahmad Khan   +5 more
wiley   +1 more source

Maximum Correntropy Square-Root Cubature Kalman Filter for Non-Gaussian Measurement Noise

IEEE Access, 2020
Cubature Kalman filter (CKF) is widely used for non-linear state estimation under Gaussian noise. However, the estimation performance may degrade greatly in presence of heavy-tailed measurement noise.
Jingjing He, Changku Sun, Baoshang Zhang, Peng Wang   +3 more
doaj   +1 more source