Results 51 to 60 of about 5,324 (208)
For improving the tracking accuracy and model switching speed of maneuvering target tracking in nonlinear systems, a new algorithm named the interacting multiple model fifth-degree spherical simplex-radial cubature Kalman filter (IMM5thSSRCKF) is ...
Hua Liu, Wen Wu
doaj +1 more source
A Federated Derivative Cubature Kalman Filter for IMU-UWB Indoor Positioning
The inertial measurement unit and ultra-wide band signal (IMU-UWB) combined indoor positioning system has a nonlinear state equation and a linear measurement equation.
Chengyang He, Chao Tang, Chengpu Yu
doaj +1 more source
A GEDMM is proposed to represent the MIWPS as multiple VSISs and model each of them as the VTDS2M whose unknown parameters are identified with the proposed hybrid optimized square root cubature Kalman filter (HOSRCKF). To solve the issues that the physical meanings of existing short circuit ratios (SCRs) are unclear and the critical values of existing ...
Mengxian Sun +3 more
wiley +1 more source
Robust Estimation in Continuous–Discrete Cubature Kalman Filters for Bearings-Only Tracking
The model of bearings-only tracking is generally described by discrete–discrete filtering systems. Discrete robust methods are also frequently used to address measurement uncertainty problems in bearings-only tracking.
Haoran Hu, Shuxin Chen, Hao Wu, Renke He
doaj +1 more source
Adaptive High Manoeuvring Target Tracking Algorithm Based on CNN‐LSTM Fusion Architecture
To solve the problems of model switching lag and tracking accuracy decline in interacting multiple model (IMM) algorithm in complex manoeuvring target tracking, an adaptive interacting multiple model unscented Kalman filter (IMM‐UKF) algorithm based on convolutional neural network and long short‐term memory network (CNN‐LSTM) fusion architecture is ...
Yuhan Cui +3 more
wiley +1 more source
BP Neural Network–Based Kalman Filtering Method Under Multiple Cyberattacks
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
Spherical Simplex-Radial Cubature Quadrature Kalman Filter
A spherical simplex-radial cubature quadrature Kalman filter (SSRCQKF) is proposed in order to further improve the nonlinear filtering accuracy. The Gaussian probability weighted integral of the nonlinear function is decomposed into spherical integral ...
Zhaoming Li, Wenge Yang
doaj +1 more source
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
On bivariate Gaussian cubature formulae [PDF]
It is shown that for two classes of integrals the results of Gaussian quadrature can be extended straightforwardly to the bivariate case. For these classes Gaussian formulae of an arbitrary degree are derived.
Schmid, H. J., Xu, Yuan
openaire +2 more sources
RBFCUB: A numerical package for near-optimal meshless cubature on general polygons
In this paper we improve the cubature rules discussed in [12] for the computation of integrals by radial basis functions (RBFs). More precisely, we introduce in the context of meshless cubature a leave-one-out cross validation criterion for the ...
R. Cavoretto +3 more
semanticscholar +1 more source

