Results 41 to 50 of about 15,890,225 (198)

Gaussian estimation for non‐linear stochastic uncertain systems with time‐correlated additive noises and packet dropout compensations

IET Control Theory & Applications, 2022
This paper discusses the problem of state estimation for non‐linear stochastic uncertain systems with time‐correlated additive noise and packet dropout compensations.
Guo‐Rui Cheng, Meng‐Chen Ma, Li‐Guo Tan, Shen‐Min Song   +3 more
doaj   +1 more source

A MEMS-INS assisted GNSS vector tracking loop for robust navigation based on cubature Kalman Filter

Measurement + Control, 2023
The occlusion of shade leads to the intermittent reception of satellite signals, which subsequently results in a decline of the positioning accuracy of Global Navigation Satellite System (GNSS).
Wei Liu, Minghui Mou, Yuan Hu, Hua Huang, Yihang Shi, Shengzheng Wang   +5 more
doaj   +1 more source

A Robust Adaptive Cubature Kalman Filter Based on SVD for Dual-Antenna GNSS/MIMU Tightly Coupled Integration

Remote Sensing, 2021
In complex urban environments, a single Global Navigation Satellite System (GNSS) is often not ideal for navigation due to a lack of sufficient visible satellites.
Cheng Pan, Nijia Qian, Zengke Li, Jingxiang Gao, Zhenbin Liu, Kefan Shao   +5 more
doaj   +1 more source

saullocastro/cubature: 0.16.0

, 2022
Maintenance updates: Python 3.10 added, Python 3.6 removed Based on Steven Johnson`s v1.0.4 (https://github.com/stevengj/cubature/releases/tag/v1.0.4) Fixed shape checks of `xmin` and `xmax` that were limiting the vectorized capabilities of the Python ...
quantumAnsatz, Mark Dewing, João Bernardo Oliveira, Darius Arnold, scku208, Alberto Eljarrat, Anton Loukianov, Saullo G P Castro   +7 more
core   +1 more source

A Novel Robust Student’s t-Based Cubature Information Filter with Heavy-Tailed Noises

International Journal of Aerospace Engineering, 2020
In this paper, a novel robust Student’s t-based cubature information filter is proposed for a nonlinear multisensor system with heavy-tailed process and measurement noises.
Yongtao Shui, Xiaogang Wang, Wutao Qin, Yu Wang, Baojun Pang, Naigang Cui   +5 more
doaj   +1 more source

Design of Distributed Fusion Predictor and Filter without Feedback for Nonlinear System with Correlated Noises and Random Parameter Matrices

Measurement Science Review, 2022
This work presents distributed predictor and filter without feedback for nonlinear stochastic uncertain system with correlated noises. Firstly, for the problem that the process noise and measurement noise are correlated, the two-step prediction theorem ...
Liu Man-lu, Lin Rui, Huo Jian-wen, Tan Li-guo, Ling Qing, Zybin Eugene Yuryevich   +5 more
doaj   +1 more source

saullocastro/cubature: v0.14.7

, 2021
Python wrapper for the Cubature algorithm explained in: http://ab-initio.mit.edu/wiki/index.php ...
Mark Dewing, João Bernardo Oliveira, Darius Arnold, scku208, Alberto Eljarrat, Anton Loukianov, Saullo G P Castro   +6 more
core   +1 more source

Iterative Diffusion-Based Distributed Cubature Gaussian Mixture Filter for Multisensor Estimation

Sensors, 2016
In this paper, a distributed cubature Gaussian mixture filter (DCGMF) based on an iterative diffusion strategy (DCGMF-ID) is proposed for multisensor estimation and information fusion. The uncertainties are represented as Gaussian mixtures at each sensor
Bin Jia, Tao Sun, Ming Xin
doaj   +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

Adaptive High Manoeuvring Target Tracking Algorithm Based on CNN‐LSTM Fusion Architecture

IET Radar, Sonar &Navigation, Volume 20, Issue 1, January/December 2026.
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, Chunbo Xiu, Yuxia Liu, Dawei Liu   +3 more
wiley   +1 more source