Results 81 to 90 of about 19,010 (211)

An Improved Unscented Kalman Filter Algorithm for Radar Azimuth Mutation

International Journal of Aerospace Engineering, 2020
An improved UKF (Unscented Kalman Filter) algorithm is proposed to solve the problem of radar azimuth mutation. Since the radar azimuth angle will restart to count after each revolution of the radar, and when the aircraft just passes the abrupt angle ...
Dazhang You, Pan Liu, Wei Shang, Yepeng Zhang, Yawei Kang, Jun Xiong   +5 more
doaj   +1 more source

The Ensemble Kalman Filter: A Signal Processing Perspective

, 2017
The ensemble Kalman filter (EnKF) is a Monte Carlo based implementation of the Kalman filter (KF) for extremely high-dimensional, possibly nonlinear and non-Gaussian state estimation problems.
Fritsche, Carsten, Gustafsson, Fredrik, Hendeby, Gustaf, Roth, Michael   +3 more
core   +1 more source

An Improved Robust Filter Algorithm for Manoeuvering Target Tracking With the Unknown and Time‐Varying Noise

Electronics Letters, Volume 62, Issue 1, January/December 2026.
The unstable radar measurement noise in natural environments degrades tracking performance. This Letter introduces a noise‐adaptive matrix to efficiently compute a corrected fading factor, enabling real‐time compensation for noise variations. Superior performance is verified through comparison with existing methods. ABSTRACT In the natural environment,
Tianhao Liu, Xi Chen, Naichang Yuan
wiley   +1 more source

Performance analysis of state of charge and state of health prediction using Kalman filter techniques with battery parameter variation

Global Energy Interconnection
Accurate estimation of the State of Charge (SOC), State of Health (SOH), and Terminal Resistance (TR) is crucial for the effective operation of Battery Management Systems (BMS) in lithium-ion batteries.
Ranagani Madhavi, Indragandhi Vairavasundaram   +1 more
doaj   +1 more source

A New Constrained State Estimation Method Based on Unscented H∞ Filtering

Applied Sciences, 2020
The unscented Kalman filter (UKF) is widely used in many fields. When the unscented Kalman filter is combined with the H∞ filter (HF), the obtained unscented H∞ filtering (UHF) is very suitable for state estimation of nonlinear non-Gaussian systems ...
Yuanyuan Liu, Yaqiong Fu, Huipin Lin, Jingbiao Liu, Mingyu Gao, Zhiwei He   +5 more
doaj   +1 more source

A New Perspective and Extension of the Gaussian Filter

, 2015
The Gaussian Filter (GF) is one of the most widely used filtering algorithms; instances are the Extended Kalman Filter, the Unscented Kalman Filter and the Divided Difference Filter.
Kappler, Daniel, Schaal, Stefan, Trimpe, Sebastian, Wüthrich, Manuel   +3 more
core   +1 more source

Unscented Kalman Filter With Enhanced Generalised Cross Correlation Entropy for Robust State Estimation of Power System

IET Energy Systems Integration, Volume 8, Issue 1, January/December 2026.
ABSTRACT To solve the complex scenarios, such as multimodal noise, bad measurement data and sudden load changes, in the power system, the enhanced generalised cross correlation entropy unscented Kalman filter (EnGCCE‐UKF) method is proposed in this paper.
Liangzheng Wu, Taofei Ku, Kaiman Li, Peifeng Chen   +3 more
wiley   +1 more source

Online Correction Method for Ratio Methods by Using Geomagnetic Sensors Based on Kalman Filter

IEEE Access, 2019
By eliminating the data offset caused by a disturbing magnetic field during the flying condition of a spinning projectile, an adaptive unscented Kalman filter is applied to estimate the actual data of a geomagnetic field and the false value introduced by
Wei Wang, Yulin Liu
doaj   +1 more source

On Approximate Nonlinear Gaussian Message Passing On Factor Graphs

, 2019
Factor graphs have recently gained increasing attention as a unified framework for representing and constructing algorithms for signal processing, estimation, and control. One capability that does not seem to be well explored within the factor graph tool
Hoffmann, Christian, Petersen, Eike, Rostalski, Philipp   +2 more
core   +1 more source

Adaptive Neural Unscented Kalman Filter

eight pages, ten ...
Levy, Amit, Klein, Itzik
openaire   +2 more sources