A new adaptive extended Kalman filter for cooperative localization
To solve the problem of unknown noise covariance matrices inherent in the cooperative
localization of autonomous underwater vehicles, a new adaptive extended Kalman filter is …
localization of autonomous underwater vehicles, a new adaptive extended Kalman filter is …
Robust Kalman filters based on Gaussian scale mixture distributions with application to target tracking
In this paper, a new robust Kalman filtering framework for a linear system with non-Gaussian
heavy-tailed and/or skewed state and measurement noises is proposed through modeling …
heavy-tailed and/or skewed state and measurement noises is proposed through modeling …
A new outlier-robust student's t based Gaussian approximate filter for cooperative localization
In this paper, a new outlier-robust Student's t based Gaussian approximate filter is proposed
to address the heavy-tailed process and measurement noises induced by the outlier …
to address the heavy-tailed process and measurement noises induced by the outlier …
Student's t-based robust Kalman filter for a SINS/USBL integration navigation strategy
In order to satisfy the requirements of the placement, the operation, and the high-precision
navigation and positioning for the underwater vehicles and the underwater operational …
navigation and positioning for the underwater vehicles and the underwater operational …
A student's T-based measurement uncertainty filter for SINS/USBL tightly integration navigation system
T Zhang, J Wang, L Zhang, L Guo - IEEE transactions on …, 2021 - ieeexplore.ieee.org
In order to suppress the impact of some error factors of the existing strap-down inertial
navigation system and ultra-short base line (SINS/USBL) position matching loosely …
navigation system and ultra-short base line (SINS/USBL) position matching loosely …
Cubature Kalman filter under minimum error entropy with fiducial points for INS/GPS integration
Traditional cubature Kalman filter (CKF) is a preferable tool for the inertial navigation system
(INS)/global positioning system (GPS) integration under Gaussian noises. The CKF …
(INS)/global positioning system (GPS) integration under Gaussian noises. The CKF …
A high-accuracy GPS-aided coarse alignment method for MEMS-based SINS
In order to improve the computational efficiency and alignment accuracy of a
microelectromechanical system (MEMS)-based strap-down inertial navigation system …
microelectromechanical system (MEMS)-based strap-down inertial navigation system …
Adaptive H-infinite Kalman filter based on multiple fading factors and its application in unmanned underwater vehicle
J Wang, X Chen, P Yang - Isa Transactions, 2021 - Elsevier
Aiming at the problem that the navigation performances of unmanned underwater vehicle
(UUV) may be affected by inaccurate prior navigation information and external …
(UUV) may be affected by inaccurate prior navigation information and external …
MM estimation-based robust cubature Kalman filter for INS/GPS integrated navigation system
W Guangcai, X Xu, T Zhang - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
In the engineering applications, Kalman filter (KF) is the most commonly used for INS/GPS
integration. This KF-based integration is prone to divergence because of two typical …
integration. This KF-based integration is prone to divergence because of two typical …
Neural-network-based AUV navigation for fast-changing environments
S Song, J Liu, J Guo, J Wang, Y **e… - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
For an autonomous underwater vehicle (AUV), navigation is a key functionality. Dead-
reckoning (DR) navigation is an important class among all the AUV navigation methods. In …
reckoning (DR) navigation is an important class among all the AUV navigation methods. In …