Results 51 to 60 of about 15,890,225 (198)
IET Radar, Sonar &Navigation, Volume 20, Issue 1, January/December 2026.To address the limitations of existing wireless and inertial navigation systems, this paper proposes a high‐precision integrated positioning scheme based on particle filtering. The method introduces a high‐weight particle neighbourhood attraction mechanism to solve the common issue of particle degeneracy.
Yanbiao Gao, Zhongliang Deng
wiley +1 more source
IEEE Access, 2021 Obtaining accurate vehicle driving state and road adhesion coefficient information is of great significance to many aspects of the vehicle. This paper takes distributed drive electric vehicles as the research object and designs a joint estimation method ...
Yanan Wu, Gang Li, Dongsheng Fan
doaj +1 more source
Constrained Cubature Particle Filter for Vehicle Navigation. [PDF]
Sensors (Basel)In vehicle navigation, it is quite common that the dynamic system is subject to various constraints, which increases the difficulty in nonlinear filtering.
Xue L, Zhong Y, Han Y.
europepmc +2 more sources
BP Neural Network–Based Kalman Filtering Method Under Multiple Cyberattacks
IET Signal Processing, Volume 2026, Issue 1, 2026.This paper proposes a Kalman‐gain‐driven neural Kalman filtering (KF) defense framework, termed KFDBP, for secure state estimation in cyber–physical systems (CPSs) under denial‐of‐service (DoS), spoofing, and replay attacks. Unlike end‐to‐end neural filtering approaches such as KalmanNet that directly learn state estimators or implicitly approximate ...
Zijing Li +7 more
wiley +1 more source
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
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, 2021 Python wrapper for the Cubature algorithm explained in: http://ab-initio.mit.edu/wiki/index.php ...
Mark Dewing +6 more
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Distributed event‐triggered cubature information filtering based on weighted average consensus
IET Control Theory & Applications, 2018 To deal with the distributed estimation problem for mobile sensor networks with non‐linear systems and a large amount of data transfer, the distributed event‐triggered cubature information filtering based on weighted average consensus is proposed. The filter benefits from the non‐linear filtering algorithm with consensus technique and event‐triggered ...
Tan, Qingke +3 more
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High Degree Cubature Federated Filter for Multisensor Information Fusion with Correlated Noises [PDF]
Mathematical Problems in Engineering, 2016 This paper proposes an improved high degree cubature federated filter for the nonlinear fusion system with cross-correlation between process and measurement noises at the same time using the fifth-degree cubature rule and the decorrelated principle in its local filters.
Lijun Wang, Sisi Wang
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Applied Computational Intelligence and Soft Computing, Volume 2026, Issue 1, 2026.Bearings‐only tracking (BOT) in sonar’s passive mode presents significant nonlinearity challenges, addressed here through a measure of nonlinearity (MoN) based on the filter’s covariance matrix. This study computes MoN to evaluate filter performance and enhance target motion estimation precision.
Kausar Jahan +7 more
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International Transactions on Electrical Energy Systems, Volume 2026, Issue 1, 2026.Forecasts are predictions of what is likely to happen in the future and are developed so that judgment and experience of administrators and managers may be supplemented by scientifically developed information to enhance decision‐making. This study presents a systematic literature review on recent applications (2018–2024) of exponential smoothing ...
Nhlanhla Mbuli, Yukun Bao
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